NOC:Machine Learning for Soil and Crop Management

Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Somsubhra Chakraborty

NPTEL Co-ordinating Institute : IIT Kharagpur

NPTEL Lecture Count : 60

NPTEL Course Size : 6.8 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)

Lecture Titles:

Lecture 1 - General Overview of ML and DL Applications in Agriculture
Lecture 2 - General Overview of ML and DL Applications in Agriculture (Continued...)
Lecture 3 - General Overview of ML and DL Applications in Agriculture (Continued...)
Lecture 4 - General Overview of ML and DL Applications in Agriculture (Continued...)
Lecture 5 - General Overview of ML and DL Applications in Agriculture (Continued...)
Lecture 6 - Basics of Multivariate Data Analytics
Lecture 7 - Basics of Multivariate Data Analytics (Continued...)
Lecture 8 - Basics of Multivariate Data Analytics (Continued...)
Lecture 9 - Basics of Multivariate Data Analytics (Continued...)
Lecture 10 - Basics of Multivariate Data Analytics (Continued...)
Lecture 11 - Principal Component Analysis and Regression Applications in Agriculture
Lecture 12 - Principal Component Analysis and Regression Applications in Agriculture (Continued...)
Lecture 13 - Principal Component Analysis and Regression Applications in Agriculture (Continued...)
Lecture 14 - Principal Component Analysis and Regression Applications in Agriculture (Continued...)
Lecture 15 - Principal Component Analysis and Regression Applications in Agriculture (Continued...)
Lecture 16 - Applications of Classification and Clustering Methods in Agriculture
Lecture 17 - Applications of Classification and Clustering Methods in Agriculture (Continued...)
Lecture 18 - Applications of Classification and Clustering Methods in Agriculture (Continued...)
Lecture 19 - Applications of Classification and Clustering Methods in Agriculture (Continued...)
Lecture 20 - Applications of Classification and Clustering Methods in Agriculture (Continued...)
Lecture 21 - Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil
Lecture 22 - Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Continued...)
Lecture 23 - Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Continued...)
Lecture 24 - Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Continued...)
Lecture 25 - Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Continued...)
Lecture 26 - Use of ML for Portable Proximal Soil and Crop Sensors
Lecture 27 - Use of ML for Portable Proximal Soil and Crop Sensors (Continued...)
Lecture 28 - Use of ML for Portable Proximal Soil and Crop Sensors (Continued...)
Lecture 29 - Use of ML for Portable Proximal Soil and Crop Sensors (Continued...)
Lecture 30 - Use of ML for Portable Proximal Soil and Crop Sensors (Continued...)
Lecture 31 - ML and DL for Soil and Crop Image Processing
Lecture 32 - ML and DL for Soil and Crop Image Processing (Continued...)
Lecture 33 - ML and DL for Soil and Crop Image Processing (Continued...)
Lecture 34 - ML and DL for Soil and Crop Image Processing (Continued...)
Lecture 35 - ML and DL for Soil and Crop Image Processing (Continued...)
Lecture 36 - UAV and ML Applications in Agriculture
Lecture 37 - UAV and ML Applications in Agriculture (Continued...)
Lecture 38 - UAV and ML Applications in Agriculture (Continued...)
Lecture 39 - UAV and ML Applications in Agriculture (Continued...)
Lecture 40 - UAV and ML Applications in Agriculture (Continued...)
Lecture 41 - Hyperspectral Remote Sensing and ML Applications in Agriculture
Lecture 42 - Hyperspectral Remote Sensing and ML Applications in Agriculture (Continued...)
Lecture 43 - Hyperspectral Remote Sensing and ML Applications in Agriculture (Continued...)
Lecture 44 - Hyperspectral Remote Sensing and ML Applications in Agriculture (Continued...)
Lecture 45 - Hyperspectral Remote Sensing and ML Applications in Agriculture (Continued...)
Lecture 46 - Digital Soil Mapping - General Overview
Lecture 47 - Digital Soil Mapping - General Overview (Continued...)
Lecture 48 - Digital Soil Mapping - General Overview (Continued...)
Lecture 49 - Digital Soil Mapping - General Overview (Continued...)
Lecture 50 - Digital Soil Mapping - General Overview (Continued...)
Lecture 51 - Digital Soil Mapping With Continuous Variables
Lecture 52 - Digital Soil Mapping With Continuous Variables (Continued...)
Lecture 53 - Digital Soil Mapping With Continuous Variables (Continued...)
Lecture 54 - Digital Soil Mapping With Continuous Variables (Continued...)
Lecture 55 - Digital Soil Mapping With Continuous Variables (Continued...)
Lecture 56 - Digital Soil Mapping With Categorical Variables
Lecture 57 - Digital Soil Mapping With Categorical Variables (Continued...)
Lecture 58 - Digital Soil Mapping With Categorical Variables (Continued...)
Lecture 59 - Digital Soil Mapping With Categorical Variables (Continued...)
Lecture 60 - Digital Soil Mapping With Categorical Variables (Continued...)