Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency (Artificial Intelligence for Sustainable Engineering and Management)

This book explores the transformative potential of machine learning (ML) technologies in agriculture.It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices. Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry.It discusses the challenges faced by the agricultural sector and how AI/ML can address them.The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture.It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency.The authors also cover applications in livestock management, including feed