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Course12610502162 lectures

Machine Learning For Soil And Crop Management

Prof. Somsubhra Chakraborty · IIT Kharagpur

Start with lecture 1 At NPTEL

Lectures

Week 0

  1. Lecture 01:General Overview of ML and DL Applications in Agriculture Video
  2. Lecture 02: General Overview of ML and DL Applications in Agriculture(Contd.) Video
  3. Lecture 03: General Overview of ML and DL Applications in Agriculture(Contd.) Video
  4. Lecture 04: General Overview of ML and DL Applications in Agriculture(Contd.) Video
  5. Lecture 05: General Overview of ML and DL Applications in Agriculture(Contd.) Video

week-02

  1. Lecture 06: Basics of Multivariate Data Analytics Video
  2. Lecture 07: Basics of Multivariate Data Analytics (Contd.) Video
  3. Lecture 08: Basics of Multivariate Data Analytics (Contd.) Video
  4. Lecture 09: Basics of Multivariate Data Analytics (Contd.) Video
  5. Lecture 10: Basics of Multivariate Data Analytics (Contd.) Video

week-03

  1. Lecture 11: Principal Component Analysis and Regression Applications in Agriculture Video
  2. Lecture 12: Principal Component Analysis and Regression Applications in Agriculture (Contd.) Video
  3. Lecture 13: Principal Component Analysis and Regression Applications in Agriculture (Contd.) Video
  4. Lecture 14: Principal Component Analysis and Regression Applications in Agriculture (Contd.) Video
  5. Lecture 15: Principal Component Analysis and Regression Applications in Agriculture (Contd.) Video

week-04

  1. Lecture 16: Applications of Classification and Clustering Methods in Agriculture Video
  2. Lecture 17: Applications of Classification and Clustering Methods in Agriculture (Contd.) Video
  3. Lecture 18: Applications of Classification and Clustering Methods in Agriculture (Contd.) Video
  4. Lecture 19: Applications of Classification and Clustering Methods in Agriculture (Contd.) Video
  5. Lecture 20: Applications of Classification and Clustering Methods in Agriculture (Contd.) Video

week-05

  1. Lecture 21: Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil Video
  2. Lecture 22: Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Contd.) Video
  3. Lecture 23: Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Contd.) Video
  4. Lecture 24: Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Contd.) Video
  5. Lecture 25: Diffuse Reflectance Spectroscopy: Basics and Applications for Crop and Soil (Contd.) Video

week-06

  1. Lecture 26: Use of ML for Portable Proximal Soil and Crop Sensors Video
  2. Lecture 27: Use of ML for Portable Proximal Soil and Crop Sensors (Contd.) Video
  3. Lecture 28: Use of ML for Portable Proximal Soil and Crop Sensors (Contd.) Video
  4. Lecture 29: Use of ML for Portable Proximal Soil and Crop Sensors (Contd.) Video
  5. Lecture 30: Use of ML for Portable Proximal Soil and Crop Sensors (Contd.) Video

week-07

  1. Lecture 31: ML and DL for Soil and Crop Image Processing Video
  2. Lecture 32: ML and DL for Soil and Crop Image Processing (Contd.) Video
  3. Lecture 33: ML and DL for Soil and Crop Image Processing (Contd.) Video
  4. Lecture 34: ML and DL for Soil and Crop Image Processing (Contd.) Video
  5. Lecture 35: ML and DL for Soil and Crop Image Processing (Contd.) Video

week-08

  1. Lecture 36: UAV and ML Applications in Agriculture Video
  2. Lecture 37: UAV and ML Applications in Agriculture (Contd.) Video
  3. Lecture 38: UAV and ML Applications in Agriculture (Contd.) Video
  4. Lecture 39: UAV and ML Applications in Agriculture (Contd.) Video
  5. Lecture 40: UAV and ML Applications in Agriculture (Contd.) Video

week-09

  1. Lecture 41: Hyperspectral Remote Sensing and ML Applications in Agriculture Video
  2. Lecture 42: Hyperspectral Remote Sensing and ML Applications in Agriculture (Contd.) Video
  3. Lecture 43: Hyperspectral Remote Sensing and ML Applications in Agriculture (Contd.) Video
  4. Lecture 44: Hyperspectral Remote Sensing and ML Applications in Agriculture (Contd.) Video
  5. Lecture 45: Hyperspectral Remote Sensing and ML Applications in Agriculture (Contd.) Video

week-10

  1. Lecture 46: Digital Soil Mapping - General Overview Video
  2. Lecture 47: Digital Soil Mapping - General Overview (Contd.) Video
  3. Lecture 48: Digital Soil Mapping - General Overview (Contd.) Video
  4. Lecture 49: Digital Soil Mapping - General Overview (Contd.) Video
  5. Lecture 50: Digital Soil Mapping - General Overview (Contd.) Video

week-11

  1. Lecture 51: Digital Soil Mapping With Continuous Variables Video
  2. Lecture 52: Digital Soil Mapping With Continuous Variables (Contd.) Video
  3. Lecture 53: Digital Soil Mapping With Continuous Variables (Contd.) Video
  4. Lecture 54:Digital Soil Mapping With Continuous Variables (Contd.) Video
  5. Lecture 55: Digital Soil Mapping With Continuous Variables (Contd.) Video

week-12

  1. Lecture 56: Digital Soil Mapping With Categorical Variables Video
  2. Lecture 57: Digital Soil Mapping With Categorical Variables (Contd.) Video
  3. Lecture 58: Digital Soil Mapping With Categorical Variables (Contd.) Video
  4. Lecture 59: Digital Soil Mapping With Categorical Variables (Contd.) Video
  5. Lecture 60: Digital Soil Mapping With Categorical Variables (Contd.) Video

Live Session

  1. Live Session 03-10-2022 Video
  2. Live Session 30-03-2022 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kharagpur
Department
Agriculture
Teacher
Prof. Somsubhra Chakraborty
Level
Undergraduate
Language
English
Subjects
Biology
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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