Analyze agricultural data from sensors, drones, satellites, and IoT devices to optimize crop yields, reduce resource waste, and improve farming efficiency through AI and machine learning. Work with farms, agtech companies, and agricultural research institutions to extract insights from soil data, weather patterns, crop health metrics, and equipment performance. Create predictive models for crop yield forecasting, disease detection, optimal planting schedules, and resource allocation. This role combines data science expertise with agricultural knowledge to drive evidence-based farming decisions that increase profitability while promoting sustainable agriculture practices. Responsibilities include developing algorithms for precision planting, variable rate applications, and automated irrigation systems.
