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This research paper explores the critical role of weather forecasting in agriculture and its integration with agricultural meteorological data to facilitate informed decision-making, risk mitigation, and agricultural planning. It emphasizes the significance of agricultural meteorological data, including temperature, precipitation, humidity, wind speed, solar radiation, and soil moisture content, collected from strategically positioned meteorological stations. The paper advocates for a dynamic weather advisory framework that adopts a multi-hazard approach, provides sector-specific advisories, ensures geographical specificity, and emphasizes effective communication channels. Highlighting Indian government agricultural initiatives with AGROMET integration, the paper underscores their importance in modernizing agriculture, enhancing resilience, and promoting sustainable practices. In conclusion, it emphasizes the pivotal role of weather forecasting in agriculture, contributing to enhanced farm productivity, resilience, and sustainability amidst changing climatic conditions.
Mandeep Yadav (Sun,) studied this question.