Weather Intelligence and Analytics: Response Management in Agriculture

This book is a practical guide to building and using weather intelligence for resilient, profitable food systems. It begins with meteorological fundamentals tailored to agriculture and allied sectors, explaining how temperature, humidity, radiation, wind, and rainfall drive crop growth, disease risk, and livestock comfort. It then shows how to acquire high-quality datafrom automatic weather stations, satellites, and farm-scale sensorsand manage it in robust databases for analysis at field to regional scales. Readers learn what classical statistical methods can (and cannot) do in non-stationary, extreme-prone climates, and how AI/ML approaches add value with interpretable, operational models. A dedicated section on IoT and real-time monitoring demonstrates continuous situational awareness for precision agriculture

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