Week 1: General Oerview Of Ml And Dl Applications In Agriculture
Week 2: Basics Of Multivariate Data Analytics
Week 3: Principal Component Analysis And Regression Applications In Agriculture
Week 4: Applications Of Classification And Clustering Methods In Agriculture
Week 5: Diffuse Reflectance Spectroscopy: Basics And Applications For Crop And Soil
Week 6: Use Of Ml For Portable Proximal Soil And Crop Sensors
Week 7: Ml And Dl For Soil And Crop Image Processing
Week 8: Uav And Ml Applications In Agriculture
Week 9: Hyperspectral Remote Sensing And Ml Applications In Agriculture
Week 10: Digital Soil Mapping – General Overview
Week 11: Digital Soil Mapping With Continuous Variables
Week 12: Digital Soil Mapping With Categorical Variables
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