Sustainable Agriculture in the Digital Age: Crop Management and Yield Forecasting with IoT, Cloud, and AI

Abstract

The transformation of agriculture through digital technologies is central to ensuring sustainability and enhancing productivity. This abstract outlines how the integration of Internet of Things (IoT), Cloud Computing, and Artificial Intelligence (AI) technologies can revolutionize sustainable agricultural practices in crop management and yield forecasting. IoT enables real-time monitoring of farm conditions and crop health through advanced sensors and drones, transmitting essential data to cloud platforms. These platforms serve as robust storage and computational environments, capable of handling vast datasets and running intricate data analytics. Furthermore, AI analyzes the collected data to predict crop yields, detect potential diseases, automate farming processes, and provide decision-making support. The synergy of IoT, Cloud, and AI technologies forms a comprehensive framework for data-driven farming, optimizing resource usage, reducing waste, increasing yield accuracy, and fostering resilience in changing climatic conditions. These digital advancements in agriculture present a promising approach towards achieving sustainability and feeding the growing global population.