Machine Learning For Soil And Crop Management

By Prof. Somsubhra Chakraborty | IIT Kharagpur

Learners enrolled: 2626

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: None

INDUSRTY 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.

Summary

Course Status :	Completed
Course Type :	Elective
Duration :	12 weeks
Category :	Agricultural and Food Engineering
Credit Points :	3
Level :	Undergraduate
Start Date :	24 Jan 2022
End Date :	15 Apr 2022
Enrollment Ends :	07 Feb 2022
Exam Date :	23 Apr 2022 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

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

Books and references

1. Introduction to Multivariate Statistical Analysis in Chemometrics by Kurt Varmuza and Peter Filzmoser

2. Using R for Digital Soil Mapping by Malone, Minasny, and McBratney

Instructor bio

Prof. Somsubhra Chakraborty

IIT Kharagpur

I am currently serving as an Assistant Professor (Soil Science) at the Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur. I was awarded various prestigious fellowships including the Australia Awards Fellowship from the Australian Department of Foreign Affairs and Trade. I did my undergraduate and M.Sc degrees from BCKV and PAU in India and PhD degree in Agronomy (Soil Science emphasis) from Louisiana State University, USA. I started my career as a post-doctoral researcher at West Virginia University, USA. I joined IITKgp as faculty in 2016. I am passionate about the use of proximal and non-invasive sensors for soil management. I have around 50 international journal publications. I am currently serving as the member of the editorial board of Geoderma, the global journal of soil science.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: 23 April 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur.It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team