NextGen Strategies and Tools

NextGen Strategies and Tools: Pioneering Innovations in Agriculture is a systematic, application-oriented examination of next-generation strategies and technologies that drive innovation in agriculture. The book focuses on integrating Artificial Intelligence (AI), Internet of Things (IoT), deep learning, robotics, and smart sensing technologies to address challenges in sustainability, precision farming, and agricultural productivity.

The book presents information on AI-based decision support frameworks, IoT-enabled precision agriculture, smart sensor networks for crop monitoring, and vision-based systems for disease and pest detection. Contributions explore deep learning and computer vision models applied to real-world agricultural scenarios, emphasizing scalability, accuracy, and deployment feasibility in both large-scale and resource-constrained environments. Practical implementations such as Agrobots, Raspberry Piâ"based agricultural platforms, and automated fertilizer dispensing systems further demonstrate the applicability of the proposed methods.

In addition to technological advancements, the book examines the sustainability and environmental implications of adopting AI and IoT in agriculture. Key considerations such as efficient resource utilization, climate resilience, and environmentally responsible farming practices are discussed to provide a balanced and holistic perspective. By bridging theoretical foundations with practical deployment, the book supports the development of intelligent agricultural ecosystems.

As part of the NextGen Agriculture: Novel Concepts and Innovative Strategies series, this book is intended for postgraduate students, researchers, academicians, and professionals in computer science, artificial intelligence, data science, electronics and communication engineering, agricultural engineering, and smart farming technologies. It also serves as a reference for policymakers and practitioners seeking to advance sustainable and intelligent agricultural systems.