Rise of AI and Digital Transformation in Agriculture

on IIoT, Future Predictions

Agriculture is more than just a practice or an industry; it’s about yielding enough crops and food resources for the global population, minimizing food wastes, eradicating pests and plant diseases, and efficient management of organic resources. It is a critical foundation for global sustenance, environmental stability, and the overall well-being of present and future generations.

# Rise of AI and Digital Transformation in Agriculture - Table of Contents {:toc .large-only} ## Introduction ## Agri-sector Problems around the world ## Digitalization of Agriculture - Smart Agriculture ### Smart Agriculture systems with IoT and WSN ### AI driven Smart Agriculture ## Agri-sector Data Management and Data-driven decision ### Big Data ### Social Media ### Online Data ## Protection of Agricultural Land: Monitoring and Security ### rise of Agricultural UAVs ### Social and Economic Impacts #### Policy Making and Governance References[^1][^2][^3][^4] ### Resources [^1]: A. Castrignano, G. Buttafuoco, R. Khosla, A. Mouazen, D. Moshou, and O. Naud, Agricultural Internet of Things and Decision Support for Precision Smart Farming. Academic Press, 2020. [^2]: L. Ahmad and F. Nabi, Agriculture 5.0: Artificial Intelligence, IoT and Machine Learning. CRC Press, 2021. [^3]: P. K. Pattnaik, R. Kumar, and S. Pal, Internet of Things and Analytics for Agriculture, Volume 3. Springer Nature, 2021. [^4]: A. Choudhury, A. Biswas, M. Prateek, and A. Chakrabarti, Agricultural Informatics: Automation Using the IoT and Machine Learning. John Wiley & Sons, 2021.