The recent LEAD Maryland Workshop highlighted how digital tools, including artificial intelligence (AI) and satellite data, enhance climate-smart farming and agricultural resilience. Many farmers remain unaware of advanced tools like NASA’s GLAM and the AGMET dashboard, which visualize crucial weather, soil, and crop data. The Climate Resilience Network (CRN) has also launched valuable resources, including the Maryland Agriculture Climate Impact Dashboard, aimed at aiding farmers in seasonal planning. Building trust and transparency with farmers is essential for effective partnerships; when they recognize how these digital tools boost productivity and sustainability, engagement increases. Prominent speakers discussed the integration of AI and machine learning in analyzing satellite data to improve crop mapping, yield forecasts, and risk assessments. This collaborative effort combines knowledge from meteorology, hydrology, and computer science to create reliable agricultural data, vital for preventing food crises and ensuring a resilient agricultural future.
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