AI and Data Science in Sustainable Agriculture and Food Production

Abstract

This chapter explores the transformative role of AI and Data Science in sustainable agriculture, addressing critical challenges, enhancing productivity, and fostering environmental stewardship. It defines sustainable agriculture and its importance, highlighting the need for innovative solutions. The chapter examines the role of AI and Data Science, discussing machine learning for precision agriculture and crop yield optimization with practical applications. It also covers AI techniques for water management and irrigation systems, showcasing predictive analytics and real-time monitoring. The chapter delves into computer vision for plant disease detection, comparing traditional methods with AI-based approaches. It discusses AI in fertilizer management, presenting techniques to enhance efficiency. Finally, the chapter explores AI-driven supply chain optimization and food waste reduction, illustrating the impact on efficiency and sustainability. This chapter provides a comprehensive analysis of how AI and Data Science revolutionize agriculture, promoting sustainable practices.