Machine Learning For Soil And Crop Management free videos and free material uploaded by IIT Kharagpur Staff .
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
It is essential to upgrade traditional farming practices and prepare for a technological revolution to develop eco-friendly systems for enhancing crop productivity. This course aims to cover the various applications of machine learning and deep learning methods for better soil and crop management. This course is specifically designed for those undergraduate students who wish to understand and apply their knowledge of machine learning, deep learning, digital soil mapping, image processing, and portable sensors for developing an integrated and advanced soil and crop management system.PRE-REQUISITE: NoneINDUSRTY SUPPORT: Soil and crop testing services, Soil remote sensing solution services, AI-based agricultural startups.INTENDED AUDIENCE: STUDENTS OF AGRICULTURAL ENGINEERING, AGRICULTURE, AND ENVIRONMENTAL SCIENCE.
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