The Digital Agricultural Revolution: Innovations And Challenges In Agriculture Through Technologydisruptions

There is a need of synergy between application of modern scientific innovation in the area of Artificial Intelligence and Agriculture, considering the major challenge from climate change consequences viz. temperature rising, erratic rainfall pattern, emergence of new pest of crops, drought, flood etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of convergence of different disruptive technologies.

The book touches upon the following topics which have contributed to revolutionizing agricultural practices.

1. Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real applications of AI, machine learning and deep learning in agriculture domain, integration & coordination of systems and issues & challenges) 2. IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final produce, benefits in real time for crop acreage estimation, monitoring & control of agricultural produce) 3. Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments & real case studies) 4. Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health & management) 5. Privacy, Security and Trust in Digital Agriculture (government framework & policy papers) 6. Open Problems, Challenges and Future Trends