Predictive Modelling & Remote Sensing in Agritech

This advanced course focuses on the technical side of agritech: remote sensing and predictive modelling. You will learn how to work with satellite and drone imagery (Sentinel, Landsat), compute vegetation indices such as NDVI and EVI, process geospatial data, and combine it with weather and soil data. The course covers machine learning and deep learning models for crop classification, yield prediction, and stress or disease detection, along with model validation, uncertainty, and deployment for decision support. Prior knowledge of Python and basic machine learning is required.