eChapter Name: Future of AI in Horticultural Crops
9789358877793
eBook Name: ROBOTICS IN HORTICULTURE
by Wani Farhana, Gazala Gulzar, Zahoor Ahmad Bhat
7.1 Introduction
Artificial intelligence (AI) is the imitation of human intellect in machines designed to emulate human activities and cognitive functions. These machines are designed to accomplish tasks that normally require human intellect, such as learning, problem solving, perception, and decision-making (Zhang et al., 2022). Horticultural crops, including fruits, vegetables, nuts, and ornamental plants, are of paramount importance in global agriculture, as they contribute significantly to food security, economic prosperity, and environmental sustainability. Nevertheless, the cultivation of these crops poses numerous challenges for growers, such as fluctuating market demand, insufficient resources, unpredictable climate conditions, and the constant threat of pests and diseases (Nowak & Grant, 2018). In recent years, the agricultural sector has experienced a significant shift owing to advancements in Artificial Intelligence (AI) technologies (Liakos et al., 2018). AI has emerged as a powerful tool for the cultivation of horticultural crops, providing solutions for boosting productivity, sustainability, and efficiency (Shrivastava & Kumar, 2021). By utilizing AI, horticulturists can overcome the traditional challenges associated with crop management, resource allocation, and environmental sustainability, paving the way for a more resilient and productive agricultural sector (Garg et al., 2019). The integration of AI into horticultural crop production encompasses a diverse range of applications, including precision agriculture, crop monitoring and management, predictive analytics, automated harvesting, and genetic improvement (Golhani et al., 2018). These applications leverage machine learning algorithms, remote sensing technologies, and data analytics to analyze vast amounts of agricultural data ranging from soil composition and weather patterns to crop health and market trends (Araus& Cairns, 2014). Through intelligent data-driven insights, AI enables farmers to make informed decisions in real-time, optimize resource utilization, minimize waste, and maximize yields (Kamilaris et al., 2017). This technological convergence offers promising prospects for food production, enabling stakeholders to explore new avenues for growth, resilience, and sustainability in horticultural crop cultivation (Mohanty et al., 2016).