Detailed Course Information |
2025 Fall
Dec 07, 2025 |
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| ENEL 895AP - Machine Learning for Precision Agriculture |
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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.
3.000 Credit hours Levels: Graduate Schedule Types: Directed Reading *Electronic Systems Engg Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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