Abstract
<jats:p>Smart Millet Farming: AI-Driven Detection, Prediction, and Solutions for Modern Cultivation Challenges provides a quite detailed and promising examination of the ways artificial intelligence can change the millet plantings into a resilient, productive, and eco-friendly agricultural system. The book connects the ancient famine knowledge and the modern digital innovation, and it comes up with solutions for the major problems of the present agriculture like climate changes, pests, diseases, soil degradation, lack of water and market problems. It outlines the significant contributions of AI to the entire millet life cycle i.e. from the early detection of various diseases and predictive modelling of drought and heat stress to pest surveillance and soil health monitoring, smart irrigation, yield optimization, and finally supply chain integration across the ten well-structured chapters. Besides dwelling on the practical, the book extensively unfolds the future applications in areas such as data-driven decision support system, IoT, remote sensing, and machine learning that can make it possible for the farmers, researchers, and policymakers to be on the same page. The volume at large however, views the AI-supported millet farming as one of the key ways to achieve food security, climate resilience, and sustainable rural employment in the world that is rapidly changing.</jats:p>