The evolution of weather forecasting has progressed from traditional methods to advanced technology, significantly benefiting modern agriculture. Initially, predictions relied on indigenous knowledge, which proved inaccurate for extreme weather. The development of numerical weather prediction (NWP) enhanced forecasting accuracy, particularly through global models like the Global Forecast System (GFS) and regional systems such as the Bharat Forecast System (BFS). Recent technologies, including remote sensing, satellite technology, artificial intelligence (AI), big data, and IoT, have enabled real-time monitoring. Nevertheless, improved forecasting is crucial for crop planning, irrigation management, and disaster mitigation in climate-resilient agriculture. Sophisticated weather forecasting technologies make weather prediction a reliable decision support system for climate-resilient agriculture.