eChapters

In this chapter we will look at the Expert system which can guide and assist an individual once it is provided with the enough Knowledge to do so. Here we will discuss about expert system and its architecture with proper steps of making an expert system in any field by several tools which are available to do so. For expert systems the most important is Knowledge Engineering which is the collection of Knowledge from an expert and Engineering it in such a form that a machine could understand it.

Introduction

One of the pioneering fields of AI study is Expert Systems (ES). It is proposed by researchers in the computer science department of Stanford University. An expert system is a computer system which emulates a human expert’s decision-making skills. Expert systems are developed by reasoning through information structures, representing laws, rather than through traditional procedural code, in order to overcome complex problems.

Expert Programs use professional expertise systematically to address human expert problems. An expert is an individual with experience in a specific field. The expert has expertise or special credentials which most people do not learn or care about. An expert can solve or solve problems more effectively than people can solve. Expert System actually emulates all these qualities of expert and solve the problem in a better way and fast.

Today, Expert System (ES) is used in the fields of finance, research, engineering, technology, medicine and many others where there is a well-defined problem area. The fundamental principle is that an expert method should also define the steps to illustrate why a problem can be solved. Unless an individual can justify his reasoning for Expert System.

In this chapter we will talk about the tools which are required to make project in artificial intelligence. All this bellow discussed tools are uses python programming language for making any project in any respective field. We have discussed about how anyone can install and use the tools to built a real time project in artificial Intelligence.

Using Python IDE

To download and install Python visit the official website of Python https://www.python.org/downloads/and choose your version. We have chosen Python version as per requirement all the codes in this book were on python version 3.6 as you can see in the Fig. 7.1.

In this chapter we will cover all the basics libraries and some frameworks of machine learning, deep learning and computer vision. We will discuss all about their use with an example and instruction which will states the commands to install to those libraries for building any project in our system. So let’s begin

What is a Library?

Library is an aggregate of features and methods that allow you to take many actions without getting your own code written.

For instance, the libraries that you have to know are if you work with data, numpy, scipy, pandas, etc. They have very simple data processing functions that save you time for small tricks.

In this chapter of machine learning algorithms we will cover the basic algorithms of machine learning with their implementation using dataset and discuss their pro’s and cons of algorithms for better understanding and how to use them in any project or with any dataset to get an correct result which can useful for research or study.

Key Component

We defined a data set composed of audio, images and binary labels that provided an understanding of how we could train a model from snippets to classifications. This sort of problem is one of many kinds of machine learning problems when we try and predict a specified unknown label given known inputs, provided that a dataset of examples for which labels are known is called supervised learning. Let’s discus what are the major key components we have to get there

Introduction

In agriculture, plant diseases have always been a major problem, as they cause crop quality to decrease, resulting in yield. Plant disease has a range of effects from minor symptoms to serious damages in whole crop areas, which lead to high financial costs and significantly impact the agricultural economy, particularly in developing countries dependent on a single crop or on a few crops.

Various approaches have been developed to detect disease in order to avoid significant losses. Causal agents have been precisely defined by methods developed in molecular biology and immunology. However, for many farmers these techniques are inaccessible and require detailed knowledge of the field or substantial time and energy to be used. According to the United Nations Food and Agriculture Organization, most farms in the world are small and family-owned in developed countries. Such families provide food for a significant proportion of the population of the planet. However, hunger and food insecurity are not rare and there is restricted access to markets and services. For the above reasons, a great deal of work has been undertaken in order to establish methods that are sufficiently reliable and available to most farmers. Where Plant disease is an essential factor contributing to a major decline in plant production quality and quantity. Plant disease identification and classification are a significant role in improving plant production and economic development.

Introduction

The conventional approach of the human person for plant classification is comparing the color and shape of the leaves, but by using Artificial Intelligence analysis can provide quicker and more detailed results by analyzing the morphology of the leaves and provides more details about the leaf properties. Species Recognition has been a very important part of agriculture and there are thousands of species in plants which can be identified by a single person and even if it does so It will take a huge lot of time to do it.

In this chapter we will discuss and built a project related to identify species in flower with an image. In this project we will be using Artificial Intelligence different branches like machine learning, deep learning and computer vision to build such an amazing project. So, let’s begin

In this Chapter the precision farming/ Agriculture is discussed along with its steps of implementation. It also includes how artificial Intelligence plays role to perform precision farming/ agriculture in various way along with its scope, limitation and challenges.

Introduction

The primary source of livelihood is agriculture in India, where two thirds of India’s population, services and the private sector account for the remainder. Agricultural land accounts for about 43 percent of the geographical area of India. In earlier days, India was largely dependent in terms of food imports, but over the years, the country’s production of grain and seeds was self-sufficient, and this effort led to the formation of the Green Revolution. In fact, there was strong effort to achieve food self-sufficiency. This trend has continued up to now and continuous improvements have occurred. Precision agriculture or precision farming means the right thing to do, in the right way, on the right place and at the right time. Precision agriculture is expected to suit the agro-climate activities to improve application precision. Farming land has declined a bit in the last 40 years but the number of farmers has increased. According to the 2010–11 Agriculture Census, a total of 138.35 million operating holdings were estimated (single farmers) and 159,59 million hectares were covered by operations.

Precision agriculture is a management technique that collects, processes and analyzes temporary, spatial and individual data and integrates this with other information in order to support management decisions based on an estimated variability to enhance efficiency of use of agricultural production resources, productivity, quality, profitability and sustainability. Precision Agriculture manages every input of crop production (fertilizer, specifically found calestone, herbicide, seeds, insecticide, etc. Reduce waste, boost income and maintain efficiency Place. Precision Agriculture adapts soil and crop management carefully to suit the different field conditions.

The chemical composition and digestibility of feedstuffs influence their nutritive value for animal production. Therefore, assessment of nutritive value of feedstuffs continues to be one of the top priority areas in animal production research. Although traditionally the feedstuffs were evaluated by performance studies and digestion trials, such techniques are expensive and requires more time and labour. Continued search for alternatives to animal feeding experiments have led to the development of feed evaluation systems that are rapid and economical.

In general, there are two kinds of laboratory analyses — Chemical analyses and Biological tests with rumen micro-organisms or purified enzymes. Biological tests give direct estimates of digestibility, but are lengthier and more expensive. Chemical analyses are cheaper and rapid, but do not give direct estimates of nutritive value. The statistical association between the chemical components and quality need to be established to predict the nutritive value.

The estimation of digestibility by feeding trials with sheep or other ruminants is laborious and requires large quantities of feed. Therefore, the chemical composition of feedstuffs are used to predict digestibility by making use of established mathematical relationship between digestibility and composition. However, since the relationship between digestibility and chemical composition varies with the type of feedstuffs, for each group of feedstuffs, mathematical equations will have to be developed by relating chemical composition with in vivo digestibility. In spite of this, the errors associated with this approach of predicting digestibility is large. This has led to the development of techniques that would mimic digestive function of the ruminant in the laboratory.

In vitro methods of feed evaluation using rumen fluid and/or digestive enzymes are the most widely used techniques in ruminant feed evaluation.Although,the technique adopted in different laboratories differ, the principle of the technique is essentially a partially simulated rumen environment in vitro by incubating rumen fluid anaerobically in buffered medium at 39°C for variable period of time. Currently the most commonly used rumen in vitro techniques are,

Although in vitro rumen studies of digestibility determination simulates rumen fermentation to some extent, it is almost impossible to incorporate all dynamics of rumen environment in these techniques. Therefore, the in situ Dacron bag technique was developed as an alternative to the in vitro rumen studies (Ørskov and McDonald, 1979). This technique involves placement of feedstuffs in bags made of indigestible fabrics such as nylon, Dacron or silk, directly in the rumen. The loss of dry matter or of any feed component after specific incubation period are measured gravimetrically to determine the rate and extent of degradation.

This technique is widely used, but the procedure differ among the laboratories.Improved methods utilise bags of specific pore size and control the ratio of sample weight to surface area of the bag.Bags with a large ratio of surface area to sample size minimise the error.Optimum pore size is about 40 microns. Smaller pore size retards the entry of organisms and thus inhibit optimum fermentation while larger ones permit transit of lignified particles.

Although the Dacron bag technique for protein degradation measurement is relatively simple and not too expensive as compared to in vivo measurements, the technique is not easily adaptable in laboratories that are not fully equipped to maintain cannulated animals. Therefore, different alternative approaches such as measurement of protein solubilities in buffer, enzymes and detergent solutions have been tried (Pichard and Van Soest, 1978; Krishnamoorthy et al., 1982, 1983, 1995; Aufrere et al.,1991; Prabhu et al., 1996; Licitra et al., 1996 and 1998). The advantages of these approaches are that, they are simple, rapid, economical and repeatable. However, since the enzymes used are not of rumen microbial origin, degradation obtained from these enzymes may not be a true .reflection of degradation occurring in the rumen. Nevertheless, because of their simplicity and rapidity, in situations where large number of samples are to be compared, in vitro techniques serve as useful tools.

Different enzymatic methods have been proposed as potential alternatives to rumen inoculum studies to determine dry matter digestibility and protein degradation. However, the type of enzyme used and the procedure adopted differ (Marten and Barnes, 1979). The enzyme methods offer distinct advantage under circumstances of the difficulties in maintaining rumen fistulated animals as a source of rumen inoculum. Since, the enzymes used in these techniques are commercially available enzyme preparations, and are not of rumen microbial origin, the digestibility obtained from these techniques are related to in vivo digestibility by means of mathematical equations. Therefore, equations developed to predict energy content using enzyme techniques differ with the type of feedstuff and type of enzymes used in the technique (Table 5.1.) (Martens and Barnes, 1979). The enzyme methods are popular among the feed compounding industries to evaluate raw materials and compound feeds.

The method used by DeBoever et al. (1986) to determine digestibility of mixed feeds is given below.

6.1 Kinetics of Rumen Digestion

The rate and extent of digestion of dry matter or organic matter in the rumen is regarded as the important parameter to predict voluntary feed intake (Khazaal et al., 1993; Blummel,1994). Voluntary feed intake is responsible for more than 50 per cent of the variations in animal response to the diet (Van Soest, 1994) and with low quality unsupplemented roughages, this can be as much as 93% (Blumme1,1994). Therefore, any parameter of feed evaluation that would indicate the voluntary feed intake would be a useful parameter to judge the quality of feedstuff. The rate of digestion of any feed component can be measured by determining extent of digestion at intervals of time. Therefore, the techniques for determining extent of digestion, such as the rumen in vitro techniques (Tilley and Terry, 1963; Goering and Van Soest, 1970) or the in situ Dacron bag technique have been adopted to derive rate of degradation of dry matter of any particular component of the feedstuff. However, unlike in determining the extent of digestion, wherein the incubation is turned off at one particular time (normally 48 hours), measurement of rate of digestion, requires termination of incubation at several points between the start of incubation and until at least 90% of the potentially digestible dry matter is digested (72 or 96 hours). This generates a large number of samples for analysis.

In gas production technique, since gas produced from digestion of substrate is accumulated in the incubations, measurement of gas at different times of incubation would reflect the extent of digestion at different times of incubation. Therefore, unlike with other in vitro / in situ techniques wherein, digestion is determined from the gravimetric disappearance of feed at different times of incubation, gas production technique offers the possibility of using cumulative gas production at different times of incubation to measure the rate of digestion. Thus, a single incubation of feedstuffs is adequate to measure the rate of gas production.

Introduction

In ruminants,nutritional studies are very complicated unlike non ruminants where it is quite simple. In non-ruminants, analysis of feed taken and faeces voided by the animal gives overall picture of digestion and nutrient availability to the animal. In ruminants, since it has a complex microbial digestive system (rumen) within the animal digestive system, the analysis of the feed taken and faeces voided will not express the whole processes in the GI tract of the animal. To have complete picture, it is necessary to study at the site of microbial digestion (rumen). For such study, samples from the rumen have to be drawn and analyzed for metabolities, microbial enzymes etc.

Principle

Nucleic acids leaving the rumen are mainly of microbial origin which are extensively digested in the small intestine and the purines liberated are absorbed. Only a small amount of absorbed purines are utilized by the host animal, the rest are metabolised forming hypoxanthine, xanthine, uric acid and allantoin. These metabolites are excreted mainly through urine. Therefore, with the understanding of how urinary excretion of purine derivatives (PD) respond to purine absorption i.e. the response curve of PD excretion to purine input into intestines, the microbial purine outflow from the rumen and the microbial N supply to the ruminant animal can be estimated by measuring the purine derivatives excretion through urine.

Principle

Polyethylene glycol (PEG) is a high molecular weight compound which is inert to rumen fermentation. The concentration in the rumen liquor declines with the passage of digesta from rumen to lower G.I. tract and is proportional to time. Protein free filtrate of rumen liquor gives turbidity in the presence of trichloro acetic acid and barium chloride which is a measure of PEG concentration at different post feeding hours.

Nutrition plays a pivotal role for the animal research, be it health or production. Research in animal nutrition employs many basic techniques and chromatography is one of them. Chromatographic processes can be defined as separation techniques involving mass transfer between stationary and mobile phases. Various types of chromatography have one application or the other in analysis of food/feed components (Day and Williamson, 2001), quantitation of nutrients as well as the characterization of the effect of nutrients in biological samples like serum/plasma or tissues (Merken and Beecher, 2000).

A. Principle

Basically all chromatographic systems consist of the stationary phase that may be solid,gel,liquid or a solid/liquid mixture that is immobilized and the mobile phase, which may be gas or liquid and it flows over or through the stationary phase. This partition is achieved in one of the following ways:

Adsorption chromatography : It is one of the oldest types of chromatography. It utilizes a mobile liquid or a gaseous phase that is adsorbed onto the surface of a stationary solid phase. The equilibrium between the mobile and the stationary phase accounts the separation of different solutes e.g. adsorption chromatography, hydrophobic interaction chromatography.

Partition chromatography : It is based on a thin film formed on the surface of a solid support by a liquid stationary phase. Solutes equilibrate between the mobile and the stationary liquid (e.g. partition chromatography, reverse phase chromatography, gas-liquid chromatography, etc.).

Chromatography is one of the most effective technique for accurate, fast and convenient separation and identification of the components of a mixture. The method was developed by Russian botanist Mikhail Tswett (1906), described by Karl Runge (1855). Martin and Synage (1944) received Noble Prize for developing methodology of partition Chromatography.

Partition chromatography

Partition chromatogaphy is a system comprising of two physically distinguished components - a mobile component or phase and a stationary component or phase. A mixture of substances which are to be separated is placed on the system and separation takes place on the basis of difference in distribution of molecular species in two phases. Relative movement is a result of driving force and retarding effects.

Stationary phase is the sorbent, which may be liquid or paper or gel. If it is liquid then it is held stationary by adsorbing on a solid support or matrix. The mobile phase may be solvent or developer or a gas. Since the two phases are immiscible, the partitioning is defined as the distribution of solute in two immisicible phases which are in contact with one another. When a column is filled with the sorbent and solvent the two phases form a large number of theoretical plates. Each plate contains both the phases. Solutes in solution (mixture of substances to be separated) is layered on the top of the column and when it enters to the column it distributes in the two phases. The ratio of the concentration of a solute in two phases is called its partition coefficient. The resolution of solutes improves as the length of stationary phase increases.

Various products of karanj (Pongamia glabra) are utilized for industrial, health and animal agricultural application in the Indian subcontinent. Despite a rich source of protein (CP 28 —34 %), karanj (honge) cake is found to be slightly bitter in taste and toxic owing to the presence of furanoflavonoid (Karanjin), restricting its safe inclusion in the livestock diets. Though a non polar solvent, soxhlet extraction of karanj seed cake with petroleum ether/ acetone drastically reduces karanjin content. The residual cake left after solvent extraction is proved to be safe as animal feed supplement.

Estimation of karanjin

The samples can be analysed for the toxin, karanjin as per the method of Prabhu et al. (2002).

Extraction of Karanjin from Raw and Processed Cake

Exactly 25 gm of ground and thoroughly mixed sample is weighed and transferred into the thimble and extracted for 12h using 200ml of freshly distilled methanol as solvent. Methanol extract is then cooled and filtered into preweighted round bottom flask using Whatman No.1 filter paper.The excess methanol is distilled off under vacuum. The flask containing the extract is weighed again to obtain the weight of extract by subtracting the empty flask’s weight. Sufficient amount of moisture free extract is transferred into vials for further analysis.

Neem seed cake (NSC) despite of being rich in protein is not used as animal feed due to the presence of large number of toxic/bitter compounds in it. Studies have shown that NSC can be safely included the ration of animals after water washing / alkali/ urea treatment. These treatment methods appear to remove / reduce or largely inactivate the toxic principles present in NSC. In order to assess the quality/safety of the treated product, quantification of the residual toxic compounds is essential. One such compound is azadirachtin. It has been reported to be biologically most active.

One of the best techniques for the estimation of azadirachtin is by using high performance liquid chromatography (HPLC).

In spite of its high protein (CP, 34-36%) content, castor bean meal as such is not used as livestock feed due to the presence of toxic factors viz., ricin, ricinine and allergen. Of the three, ricin is the most detrimental to animals. In order to detoxify the castor cake, a number of physical and chemical methods are employed. The efficacy of the treatments is assessed, based on the qualitative and quantitative changes in ricin content. Of all the detoxification methods, autoclaving (15 p.s.i., 60 min) and lime (4% w/w) treatments completely destroy the toxin. (Anandan et. al., 2005).

Estimation of Ricin

The raw and detoxified samples can be analysed for the toxin, ricin as per the method of Kabat et al. (1947) with modifications as suggested by Waller and Negi (1958).

Extraction of Ricin

The solvent extracted castor cake sample of 500 g is extracted with 2.5 l of water acidified with HCl to a pH of 3.8 by shaking the contents in a conical flask for 6 h. The contents are allowed to settle and are then filtered trough Whatman filter paper No.1 . The residue is treated with 1.5 l of distilled water, shaken for 3 h and filtered through the same paper. A second treatment with water is given to the residue and filtered again through the same filterpaper.

This filtrate contains all the ricin and portions of ricinine that are soluble in cold, dilute HCI. It is evaporated to a small volume by vacuum distillation below 40 °C. The filtrate is saturated with sodium chloride and centrifuged at 4000 rpm for 20 min. to separate the precipitate containing only ricin.

Cotton (Gossypium) seed meal (CSM), the by-product of cotton seed oil industry, is widely used as an animal feed. However, its utilization as an animal feed is limited due to the presence of gossypol, a polyphenolie binaphthyl aldyde, which is toxic to non-ruminants such as poultry and swine and young ruminants such as calves and lambs. The gossypol (free gossypol, FG) present primarily in the pigment glands of cotton seed, is mostly converted to bound gossypol due to condensation of aldehyde group with free amino groups of proteins to form a schiff base. Formation of schiff base though results in the detoxification of gossypol to some extent, it also lowers the nutritive value by reducing the availability of lysine, the limiting amino acid of cotton seed. Thus, bound gossypol, consequently total gossypol (TG) (free plus bound) content is an important factor of cotton seed meal.

The potential of atomic absorption spectrometry/spectrophotometry/ spectroscopy for determination of metallic elements was first realized by Alan Walsh during 1950. The standard equipment termed as atomic absorption spectrometer/ spectrophotometer (AAS) has now gained a reputation in the field of analytical chemistry for determination of very small concentrations of metallic elements and metalloids. As little as 0.01 ppm of many elements can be determined through this tool. Recently, the Zeeman background correction technique has further enhanced the quality of the results obtained from the flame-less graphite furnace atomizer. Combining the very latest in AA technology with the most powerful computing and software available many manufacturers have developed several designs/models of AAS based on flame or flame-less technique.

Infra red (IR) spectroscopy is an analytical technique that serves both qualitativeandquantitativedetectionoforganicconstituents.NearInfraRed spectroscopy (NIRS) is actually a regression technique. Its predictions are based on correlations between spectral information (light absorption) and reference data fed to the spectroscopy. The principle of a NIRS machine is that a feedstuff is illuminated with light of a specific and known frequency (or wavelength) in the near infrared region. The chemical bonds in organic molecules absorb or emit infrared light when their vibrational state changes. In the near IR part of the spectrum, large changes in vibrational state are observed (overtones). In the near IR, ‘overtones’ are observed (larger than expected energy transitions that occur when molecules get ‘over excited’) resulting in broad, less well defined peaks.The characteristics of these peaks make quantification difficult as the areas of the peaks are difficult to determine and,typically,indirect (statistical) technique have to be applied to obtain usable data.Water and the C-H bonds absorb strongly in the near IR region,as do the N-H and O-H bonds,but most other have only a weak peak or none at all. The absorption of light by the feedstuff is then measured as thedifferencebetweentheamountoflightemittedbytheNIRSmachineand the amount of light reflected by the sample. Modern equipment typically uses monochromators, specially constructed mirrors that reflect light in a wavelength-dependent manner, thus allowing exposure of the sample to a single wavelength at a time. This allows samples to be scanned over the entire near IR region (they are also referred to as scanning instruments). However, as the monochromator relies on mechanical positioning of the mirror for its wavelength accuracy, the spectra generated are less reproducible from machine to machine.

Samples those are relatively transparent, such as most gases and liquids, can be assayed easily from the light transmitted (transmittance). For opaque solid samples, however, many problems arise. IR light can only travel through a few microns of opaque material. A few microns, however, can be very difficult to work with, especially when the non-homogeneous nature of most agricultural products is considered. Thus, the major challenge in applying IR spectroscopy to solid samples is sample presentation. For this technique, the sample is put into a cup and illuminated with IR light. This light can have three different fates; it can be reflected off the surface of the sample, it can enter the sample where it may be absorbed if it encounters a bond that matches the light’s frequency or, if it does not encounter such a bond, it can bounce back out of the sample. The light bounced back (or reflected) from the sample is captured and its intensity measured.

Nutritional significance of tannins in feeds and fodders

Tannins are widely distributed in many types of browse plants, tree leaves, forages and feed ingredients. The structure of tannins are not completely well defined but they are polymers of phenolic and aliphatic hydroxy compounds. Although tannins and related polyphenols are considered as protein binders and, protease and cellulolytic inhibitors, they can also exert beneficial effects on rumen fermentation. There are two forms of tannins viz., hydrolysable and condensed. Hydrolysable tannins are considered to have less deleterious effects on protein digestion since these types of tannins might get hydrolysed under acidic gastric condition and release bound proteins. Attempts have been made to utilize this to advantage in protection of proteins from rumen degradation.The condensed tannins are resistant to hydrolytic degradation. The reduction in digestibility due to condensed tannins is not clear whether it is due to specific interference with cellulases or precipitation of proteins.

Certain feed ingredients have been incorporated as a source of tannins, in the diets of ruminants to benefit ruminal fermentation and performance. Inclusion of Bengal gram husk as a source of tannins in the diet of sheep prevented potentially digestible carbohydrate in the rumen, but digested post ruminally (Sreerangaraju et al., 2000).

The amount of feed or nutrient intake by an animal which is not excreted in the faeces is considered to be digested by the animals. The depiction of digested feed/nutrient as percentage of intake is known as digestibility coefficient. However, this does not represent the true value of digestibility of a feed or nutrient because during the period of recording some part of digested material is returned to the digestive tract after absorption in the body and excreted in the faeces. In addition to this some secretions of the digestive system and debris of epithelial cells are also eliminated in the faeces. These errors are quite large and highly variable for the nitrogenous constituents and minerals in the feeds. Due to these factors the determined digestibility coefficient is known as apparent digestibility coefficient. For the determination of digestion coefficient, only daily intake of feed or nutrients and faecal void values are recorded.

The availability of nitrogenous nutrients and minerals is more accurately determined by their retention (balance) in the body. Therefore, for the determination of the retention of nitrogen and minerals,metabolism trials are conducted. The routes of elimination of these constituents from the body are faeces, urine, expired air, skin secretions and milk (in case of lactating mammalian species). In a conventional balance study the loss of nutrient (s) through skin, being quantitatively little, is ignored. However, in case of some very specific study, collection of skin secretions and materials like shed hair and scurf are collected. For the collection of skin secretion (sweat) a special absorbant suit is used. In all routine balance studies, on male animals quantity of intake and void in faeces and urine are only taken into account.

Determination of True Protein

Apparatus

Wide mouth stoppered bottle, water bath plus those used for total nitrogen (crude protein) determination.

Reagents

1. Saturated solution of potash alum.
2. Stutzer reagent-Dissolve 40g of CuSO₄ in 2 litres of water in a wide mouth stoppered bottle. Add 10ml of glycerine and sufficient quantity of 30 % NaOH to make the solution alkaline (Litmus paper). Shake the contents and allow to settle. Discard the supernatant liquid. Collect the precipitate on a filter paper and transfer it to glass mortar with the help of spatula. Add 3ml of glycerine and a little water in the mortar and triturate the precipitate with a glass pastle. Transfer the triturated material to a wide mouth stoppered bottle, add 600ml of water, shake well and filter. Repeat the process till the precipitate (filtrate) is free from alkali and sulphate. Collect the precipitate and add 30ml glycerine. Dilute the emulsion to 320ml with water and preserve in a container.

Sampling of Milk for Analysis

A careful and accurate sampling is of utmost importance for the analysis of milk. It is a fundamental principle of sampling that the quantities withdrawn, must be proportional to the quantities contained in the respective containers and uniform throughout in its composition.Thorough mixing of milk must first be ensured either by stirring or by shaking gently. If milk from an individual animal is to be sampled, the sample should be taken from the middle of vessel containing the whole amount of milk. If the sample bottles have been standing for sometime, resulting in the separation of fat in the cream layer or lumps of fat appear, the bottles may be heated in a water bath upto 40°C to melt the fat before mixing. Milk should not be shaken very violently under any circumstance as it may result in an uneven distribution of fat.

Body condition scoring (BCS), although subjective in nature, is the only practical method of evaluation of body energy stores in dairy cows. The method of body condition scoring, originally proposed by Edmonson et al. (1987) and recommended by the NRC (2001) is described here. This method uses a 5 point scale, with BCS of 1 being extremely thin and a score of 5 being extremely fat. This system includes a combination of both visual appraisal and manual palpation on 8 separate body locations. Figure 1 shows the suggested BCS chart based on these locations. The assessor can score the cows using this chart with a fair accuracy, without much previous experience of scoring the cows. The scoring method is recommended for HF and Holstein crossbred cows.

Loss of BCS is expected during early lactation when a cow is mobilizing body fat in support of energy needs for lactation. Typical observed changes in BCS range from 0.5 to 1.0 condition score units during the first 60 days postpartum. A 1-unit decrease in BCS for a cow weighing 650 kg at calving (BCS 4) would provide 698 MCal of ME.That amount of ME is sufficient to support 564 kg of 4 per cent fat corrected milk.

When dealing with the evaluation of the feeds and calculating the requirements of energy and protein for ruminants, it becomes necessary to inter convert values among different systems and units. Since the accuracy of conversions/equivalents and formulae used for calculating the requirements vary with different systems/constants used, the conversion factors and formulae given here can be used only as guidelines for routine purposes in laboratory or farms in feed formulation.

1.1. Definition of Small-scale Enterprises

According to Shonekan’s keynote address at the Faculty of Business Administration Conference (1992), captured with the theme: “Management of Small and Medium Scale Enterprises in Nigeria.” He said,

“While it is difficult to have one universal definition of SMEs since there are usually many non-constant factors and variables, the spin-off industries are usually small or medium scale. In practical terms, SMEs constitute the bedrock of our national economy. They are our industrial feedstock, the engine of production for the bigger industries. The thriving economies of the world have a record of carefully structured SMEs. In Japan for instance, the bulk of manufacturing is at the small and medium scale levels. This situation also obtains in the ‘Asian Tigers’ (i.e. Malaysia, Taiwan, South Korea, Singapore, etc).”

2.1. Place of SME in Remeding The Nigerian Economic Paradox

This can best be explained by the two-gap economic model. The Two-Gap Models of development are contained in the Post-Keynesian growth models designed by Harrod and Domar. They tried to identify the pre-conditions for the economic growth of market economies. These two preconditions are es- sentially rooted in the Nigerian economy and these are (1) Internally: inad- equate savings would definitely translate to investment. The GAP between these two is called saving constraints (SAVING GAP). Closing this gap re- quires SME-financing. (2) Externally: inadequate foreign exchange arising from inability to export vis-à-vis high importation will lead to short fall in foreign exchange. The GAP between these two is called foreign exchange constraints (TRADE GAP) which can be corrected by facilitating the establishment of indigenous enterprises through a national embrace of the SME-initiatives. Ni- gerian leaders resorted to foreign aid assistance from developed countries, multilateral and bilateral international organizations to salvage the economy from total collapse; but, we can’t continue to carry the begging bow as our benefac- tors only give us fish and don’t teach us how to catch fish.

3.1. Approaches for Promotion Entrepreneurship Programmes in Nigeria

This book used the following typology of approaches:

1. Start: Stimulating local business start-ups that enter into new local markets, there - by avoiding the trap of yet another ‘me-too’ enterprise with low revenues. Promote business start-ups as a way of creating additional jobs and incomes, and promoting competition and structural change. However, these startups often lack innovative business ideas. Instead they enter sectors with a low entry threshold, but with high competition from other companies. Stimulating local start-ups that apply IB models could encourage players to enter new markets that are not yet saturated with competitors, while at the same time serving development goals. Possible target groups for this approach include university students, NGOs or experienced business people who create a spin-off company or leave their company to engage in a totally new business. In a country or sector where IB models are still rare, the first questions that arise are why this is the case, and whether potential markets exist for the use of IB models. Questions to ask include

4.1. Issues in Employment
4.1.1. What is employment?

Employment is a relationship between two parties, usually based on a contract, one being the employer and the other being the employee.

(a) Employee

An employee contributes labor and expertise to an endeavor of an employer and is usually hired to perform specific duties which are packaged into a job. In most modern economies, the term “employee” refers to a specific defined relationship between an individual and a corporation, which differs from those of customer or client. Other types of employment are arrangements such as indenturing which is now highly unusual in developed nations but still happens elsewhere.

Enterprises

5.1. Worldview on the Issue of Small and Medium Enterprises

Research on successful and unsuccessful new and young growing enterprises can aid understanding of growth processes and barriers to growth. Research on how the growth of new enterprises can be better supported, particularly through education at colleges and universities also would be useful. Hence, all over the world increasing attention is being paid to the potential of university education to facilitate high growth enterprises. For example, research has demonstrated that a high-growth entrepreneur in Europe is better educated than other entrepreneurs and the general population. In Europe, most founders of technology based enterprises have a university degree. Research carried out in Germany has shown that enterprises started by individuals with university degrees tend to grow faster than enterprises founded by n on -academics (Egeln, 2000). (Ley, 2006) states that, Research is also needed on how to motivate and nurture the entrepreneurial potential of female students who traditionally may be less inclined to found and manage innovation-oriented high-growth firms. Another group of specific interest is ethnic and immigrant entrepreneurs, who - though often not innovative in the beginning - may introduce novel business practices and subsequent product and service innovations within established communities.

Nigeria: Economic and Non-Economic

6.1. Issues in Growth and Development in Nigeria

Nigeria has attempted through various reform programmes to better the lots of her citizens by providing dividend of development, such as education, health, social infrastructure. Broadly speaking, the features of an underdeveloped economy create obstacles in the way of economic development, and hamper economic progress. These features emerge out of economic, social, political, religious and institutional factors. It would be wrong however to conclude that only economic factors are responsible for poverty or economic backwardness of a country. Non-economic factors are equally responsible for the under development of an economy. The factors discouraging economic development may be classified into economic and non-economic factors which are:

7.1. Rural Poverty in Nigeria

The Federal Republic of Nigeria has a population of more than 160 million - the largest in Africa - and a fast-growing economy. Agriculture is the mainstay of the economy, contributing about 40 per cent of GDP. The agriculture sector employs approximately two-thirds of the country’s total labour force and provides a livelihood for about 90 per cent of the rural population. Nigeria is the world’s largest producer of cassava, yam and cowpea - all staple foods in sub-Saharan Africa. It is also a major producer of fish. Yet it is a food-deficit nation and imports large amounts of grain, livestock products and fish. Nigeria’s huge agricultural resource base offers great potential for growth. Recent government policies have started to show results: The agricultural sector reportedly grew by 7 per cent a year between 2003 and 2007, and at a slightly lower rate in recent years. Still, the area of land under cultivation could be doubled. Of an estimated 71 million hectares of arable land, only about half is presently under production. And there is substantial scope for an increase in irrigation, which now covers only 7 per cent of irrigable land. Irrigation and other inputs would substantially increase average yields for major staple crops, which are below those in other developing countries.

Despite Nigeria’s plentiful agricultural resources and oil wealth, poverty is widespread in the country and has increased since the late 1990s. Some 70 per cent of Nigerians live on less than US$1.25 a day. Poverty is especially severe in rural areas, where up to 80 per cent of the population lives below the poverty line, and social services and infrastructure are limited. The country’s poor rural women and men depend on agriculture for food and income. About 90 per cent of Nigeria’s food is produced by small-scale farmers who cultivate small plots of land and depend on rainfall rather than irrigation systems. The poorest groups eke out a subsistence living but often go short of food, particularly during the pre-harvest period. The productivity of the rural population is also hindered by ill health, particularly HIV/AIDS, tuberculosis and malaria.

8.1. Major Obstacle to Nigeria Economic Growth

In Nigeria, high transport prices are rightly seen as a major obstacle to economic growth of the region. This has been documented in several studies. One of them (Amjadi and Yeats, 1995) even concluded that, in Nigeria, transport costs are a higher trade barrier than import tariffs and trade restrictions. In this paper, it is analyzed, identified and quantified the factors behind Nigeria’s high prices of road transport, with the purpose of helping policy-makers adopt appropriate actions to reduce transport prices to domestic and international trade. Before the presentation of the results, a distinction has to be made between logistics costs, transport prices, transport costs and vehicle operating costs in order to avoid the usual confusion. This distinction is useful because prices may or may not reflect transport cost:

9.1. Challenges for Nigeria

Nigeria, at independence in 1960, was largely a producer and net exporter of primary products. The six major agricultural products then were cocoa, rubber, palm oil, groundnut, cotton and palm kernel. Although there existed mining and quarrying activities, these were of negligible percentage and never counted for the economy as a whole. In other words, agricultural produce and raw materials constituted the sole foreign exchange earner for the country. Specifically, the Nigerian state as an exporter of agricultural goods had 69.4% of its total GDP for the year 1963/64 comprising the six aforementioned agricultural commodities (Olaloku, 1979:8).

The trend of having agriculture as the main foreign exchange earner for Nigeria stopped in the early 1970s when the country was suddenly awash with petrol dollars arising from the quadruple increase in the price of oil in the world market. From 1972 onwards, oil gained ascendancy over all other commodities as the largest contributor to the GDP, and also as a major foreign exchange earner. There was substantial increase in oil production accompanied by a sharp increase in the global market price of high-grade crude oil from low price of $3.8 per barrel in October 1973 to a skyrocketing price of $14.7 per barrel in January 1974. This trend continued till 1981 when the price of crude oil attained a high level of $38.77 per barrel. Within the same period, total revenue from oil rose correspondingly from ? 1 billion to ? 4 billion while external reserves increased from ? 180 million to ? 3.7 billion in 1975 (Osaghae, 1998:96).

10.1. Challenges and Opportunities in SMEs

The Nigerian transport system faces great challenges and also offers several opportunities. The predisposing factors include:

• The size of the country: With area coverage of 923,768.64 km2, spanning longitude 30E-160E and latitude 40N-140N Nigeria is a comparatively large country. It is inhabited by over 140 million people. Transportation is a crucial instrument for linking the country economically, socially and politically.

• Nigeria’s vast natural resources: Nigeria is endowed with petroleum, gas and solid mineral resources. The country is also blessed with abundant agricultural and forest resources, which vary by the three ecological zones of the country. The country is endowed with a highly productive open sea with abundant and diverse marine resources within her coastline of 852km bordering the Atlantic Ocean in the Gulf of Guinea and her maritime area of 46,000 km. This variation is a factor in spatial interdependence. Transport plays an important role in the exploitation and distribution of these resources and in the reduction of spatial inequality and in poverty alleviation.

11.1. Support for Start-Up Finance

Access to finance for start-ups is always difficult due to the problem of asymmetric information. Start-ups lack the kind of financial history which banks use to infer the pay back behaviour and the business capacities of the entrepreneur. Innovative start-ups face the additional problem that it is difficult to assess the viability of their business ideas or the prospects of the markets. In addition, banks and other potential investors often decline to get involved when the relatively small amount of capital requested by a new business is out of proportion with the efforts that the investors must make to screen and evaluate the start-up project.

These problems are even greater for companies engaging in IB models, as doing business with the poor is usually riskier - or perceived as more risky - due to BoP customers’ low ability to pay and the greater vulnerability of value chains. Support for start-up finance is therefore essential. Local IB start-ups often lack funding at all stages of the start-up process: the idea stage, when business opportunities are identified, the seed stage, when the market is assessed and the business model developed, and the start-up stage, when the company is formally set up and all the necessary equipment is procured. Different kinds of financial support will be necessary at all stages.

12.1. Practice of SMEs in Africa-Critical Review

Previous studies in Kenya have focused on the role of entrepreneurship education in job creation, enterprise management and economic development (Simiyu, 2010; Mwangi, 2011; Warren, 2011); hardly any have addressed the process of delivering entrepreneurship education. Research provides new knowledge to guide educational practice, by making an initial foray into the teaching of entrepreneurship education in Kenya. The envisaged entrepreneurially empowered TTI graduate is a product of the training function. This book examines factors which affect implementation of entrepreneurship education programme in TTIs in Kenya. The variables investigated were teaching methods, assessment methods, teacher’s network, and availability of training resources. The findings show that teachers do not accord entrepreneurship education t he appropriate pedagogical approach that it deserves; they seem resigned to using ineffective traditional pedagogies. Meanwhile, the subject is inadequately resourced by TTI administrations. The results of this research invite the attention of entrepreneurship educators, practitioners and stakeholders to employ effective strategies for dev eloping entrepreneurial key competencies in TTI trainees.

13.1 Internal and External Factors Affecting Small and Medium Enterprises

Margi Lévy and Philip Powell argued that growth is determined by a combination of the entrepreneur, strategy and the firm organization. The author also defined key influences on SMEs growth, internal factors that reveal how decisions and features effect the growth of a firm.

(a) Entrepreneurial influences

A firm’s growth is dependent on the managerial knowledge (Macpher son & Holt 2007, 172-192). Training is crucial for the productivity and quality as well as it influences the effectiveness, efficiency and motivation of the employees (Thassanabanjong et al., 2009). The SME owner has considerable personal influence over a firm’s strategies, tactics and operations to engage in decision process across the firm.

As a result, although a flat, informal organizational structure is likely to exist, decisions making tends to be quite centralized around the owner. The entrepreneurs’ personality and behavior are to be causal factors for or against growth - orientated achievement. It is characteristic of small business that power decision are centralized at the level of owner - manager, so his or her personality, skills, responsibilities, attitude and behavior will have decisive influence on business strategy. (Levy and Powell, 2005).

Market competition has a larger affect for SMEs chance of survival and uncertainty is high as most of the smaller companies tend to have smaller share of the capital. This leads SMEs to have one or two major customers and are do not have big influence on prices. Larger companies with higher market share usually determine prices. (Levy & Powell, 2005).

14.1. Characteristics of Social Entrepreneurs Compared to Corporate Entrepreneurs

Prior research has found many parallels between social and commercial entrepreneurs when it comes to personality and behavioural traits (Drucker, 1989; Gitman & McDaniel, 2008; Gordon, 2006). There are some essential personal characteristics of these entrepreneurs that contribute to the success of the venture. A recent empirical study conducted by Sharir and Lerner (2006) identifies eight variables that contribute to success of a social venture. Out of these eight variables, five are directly related to the qualities of the entrepreneur, namely, the entrepreneur’s social network , commitment , previous management experience, ability to integrate the vision and to establish strategic alliances . Similarly, a study of the characteristics of social entrepreneurs in the United States found that social entrepreneurs are more likely to have high social capital (Ryzin, Grossman, DiPadova-Stocks & Bergrud, 2009). Although such studies of the personal characteristics of social entrepreneurs provide useful information about the leadership and organisational skills of such individuals, they do not explain the essence of these traits, why they are important and how social entrepreneurs use them to achieve their social mission and create and sustain social change. More research is required to understand what values, motives and behavioural repertoires distinguish a social entrepreneur from a corporate entrepreneur.

15.1. General Barriers and IB Strategies to Overcome

There are extensive barriers when it comes to doing business with people at the base of the pyramid. This is because of the market inefficiencies and high transaction costs that can render businesses unprofitable, particularly in the short run. For instance, customers in remote rural areas are hard to reach as the necessary infrastructure is not available. General barriers to IB models include:

• Shortages of adequate infrastructure such as roads, energy, water etc., particularly in rural areas and urban slums.

• The need to create a market (i.e. encourage demand): many goods and services are known as ‘push’ products (e.g. waste management and preventive healthcare). It is necessary to raise awareness about them in order to stimulate demand; new distribution channels must also be created.

• The lack of knowledge and skills among the poor, to act either as clients or as suppliers and employees.

• Complex or hostile regulatory or legal environments, affected by weak institutions and insufficient enforcement of rules and contracts. IB models overcome these barriers through innovation and by employing additional, targeted measures. Indeed, the strategies they use to overcome barriers to doing business with the BoP are one of the main defining features of IB models. These measures can be categorised as follows.

16.1. Overview of Medium and Small Enterprises (MSE) Growth

In most developing countries, MSEs constitute the vast majority of firms, generating a substantial share of both overall employment and output. Given their significant economic role, one might expect MSE growth to drive overall increases in output and income levels. In many cases, however, their largest economic contribution appears to be one of maintaining, rather than generating new, employment and income for the poor. At an aggregate level, MSEs demonstrate impressive growth, 3 especially when compared with larger firms. However, many individual MSEs grow slowly or not at all, in some cases, due to a conscious decision on the part of the business owner. Overall growth rates are often fueled by the rapid expansion of a narrow group of highly performing MSEs. In dev e loping as well as in developed countries, there appears to be a small group of “gazelles”, firms that outperform their peers and drive aggregate employment and productivity growth for the small business sector. Why do some MSEs expand rapidly, while others stagnate? What factors account for the wide variation observed in MSE growth trajectories? This paper explores a wide array of specific factors, but it is first useful to consider a broader conceptual frame work of opportunities and capabilities. Clearly, opportunities for profitable business activities shape the ability of an entrepreneur to expand his or her firm.

17.1. The Nigerian Unemployment Milieu: Control Measures taken by the Government

At this juncture, the little efforts that have been made by the government to control unemployment to an extent shall be examined. Records from the Central Bank of Nigeria (1987), show the following efforts made by the government:

1. Youths Empowerment/ employment and skills programme. This was done in terms of provided minor jobs or ‘white-colar’ jobs.

2. Agricultural programmes such as the ‘Operation Feed the Nation’ by the Obasanjo Military Administration.

3. Provision of small scale industries and graduates employment.

4. Special public works (which were temporary). Some of these efforts are still in place while others are forgotten. For example, on the pages of the Businessday Newspaper, on August 4th (pg 13), 12th (pg 49), 21st and 27th, 2009 were the following headings revealed:

18.1. Basic for Government Intervention in the Economy

One of the most powerful arguments to justify government intervention in the economy in the economy is the so-called concept of market failure. In a typical free enterprise system where demand and supply forces operate, the efficiency which results only relates to economic welfare. The social cost implications of economic activities tend to be ignored. Governments therefore intervene in the economy with the social welfare objective in mind. One popular way by which governments have intervened in the economy is through ownership of particular industries or outright nationalization of some private enterprises. The advantages usually claimed for such an action are as follows:

19.1. Remedies to Combat Unemployment in Nigeria

(a) Rural development

One way of stemming the rural-urban drift, and thus control the resulting unemployment in our urban centers, it for the government to develop the rural areas. Not only should amenities be provided, but jobs should be created in the rural areas to stem the exodus. Fortunately, the Babangida administration seemed to have realized this with the huge amount allocation for the development of rural areas in the 1986 and 1987 budgets.

(b) Population control

Government must intensity the effort to control population growth Nigeria already has a huge population and with an estimated growth rate of about 3 percent annually, this can only compound the unemployment in the face of inadequate resources. It is therefore advocated that the government should renew the family planning campaign to check the population growth.

1.1 Weather

Firstly, what is weather? Simply, the conditions in the atmosphere above the earth is called weather. It refers to the conditions such as wind, rain and temperature, prevailing at a particular location during periods of hours or days. We often ask “what’s the weather like today”? Any individual can answer to this question as it requires only a short term experience or say exposure to the atmosphere. The TV news forecasters predict weather each day and inform about the temperature, cloudiness, humidity, or possibility of storm in the next few days. Weather is localised, say, it’s a hot and cloudy weather in one part of the country and dry and windy on the other part.

1.1.1 What are the factors that influence weather?

Before we try to understand the factors that influence weather, we must understand what the components that describe a weather conditions are? Is it the rains, or the air temperature or both? The answer to this question is not so easy, and it’s a bit complicated. There are many components that constitute weather. Weather components include rain, cloud cover, sunshine, winds, hail, snow, sleet, storms, thunderstorms, heat waves and many more. These components are sometimes referred as weather parameters or climate elements. Each of these components define weather patterns of a particular area. These components determine the status of local atmospheric conditions. Again, as a basic definition, weather is the state of the atmosphere and majority of weather phenomena occur in the lowest layer of the atmosphere, called as the troposphere. Does it mean that ground conditions such as the topography, water bodies and vegetation of a particular area has nothing to do with it? No, it is not so. The state of the atmosphere is subjected to various processes taking place not only in the atmosphere but also in the ocean, the sea-ice, the vegetation, etc. Weather parameters or the components of weather form a sequence of events, and the influences are far reaching and they do not remain solely in the atmosphere. For example, terrestrial radiation impacts the air temperature, air pressure and humidity. The terrestrial location also influences the cloud formation. The clouds may or may not turn into precipitation depending on the outcome (cloud or rain), which is by and large governed by troposphere. Likewise, a lack of precipitation affects not only weather conditions, but also soil moisture conditions that may result in lowering of water levels (ground water table) in soil. Wind speed and direction are governed by the atmospheric pressure and air temperature. So, all these parameters or components are interrelated and the weather conditions are the outcome of their interactions. Therefore, we can say that, the three main components of weather are temperature, precipitation and solar radiation. These components are influenced by different factors.