Angol
AI-driven farming systems reshape agriculture by integrating sensing technologies, machine learning, and autonomous machinery into a data-informed ecosystem. These systems monitor soil conditions, weather patterns, crop health, and resource use in real time, enabling precise decisions that optimize yields while reducing waste and environmental impact. By automating tasks, AI-driven farms may address labor shortages and increase efficiency across operations. They also raise important questions about technological access, data ownership, and the evolving role of farmers, positioning this approach as both a transformative opportunity and a critical area for thoughtful policy and ethical consideration. AI-Driven Farming Systems With Minimal Human Intervention explores AI-powered agricultural innovations, bridging the gap between research and practice. It highlights the transformative role of AI in tackling global agricultural challenges and emphasizes the need for advanced AI-driven solutions to enhance productivity, optimize resource use, promote climate resilience, reduce costs, improve yields, and support sustainable farming. This book covers topics such as irrigation, automation, and climatology, and is a useful resource for engineers, business owners, farmers, academicians, researchers, and scientists.
