PAT210 — GIS and AI Applications
This course introduces the combined power of Geographic Information Systems (GIS) and Artificial Intelligence (AI) to support modern agriculture and precision farming. Students develop practical skills in using GIS tools to collect, manage, analyze, and visualize spatial agricultural data—including soil properties, yield records, remote sensing imagery, weather information, and field operations—while applying AI methods such as machine learning and predictive analytics to uncover patterns, forecast outcomes, and automate decision-making. Through hands-on activities, participants generate actionable maps and insights for variable rate applications, resource optimization, crop monitoring, and risk assessment, equipping them to integrate these technologies for improved efficiency, sustainability, and productivity across diverse agricultural systems.