Machine Learning for Precision Agriculture

3 credits

The primary focus of this course is on practical applications of machine learning in precision agriculture. The course topics include classification, object detection and segmentation (semantic and instance) of field images, and quantitative and qualitative soil data analysis. The course also includes multi-source data fusion, one and few-shot learning, and programming for multiple GPUs.