Course Name: Machine Learning For Soil And Crop Management

Course abstract

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.


Course Instructor

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Prof. SOMSUBHRA CHAKRABORTY

Dr. Somsubhra Chakraborty is currently serving as an Assistant Professor (Soil Science) at the Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur. He was awarded various prestigious fellowships including the Australia Awards Fellowship from the Australian Department of Foreign Affairs and Trade. He did his undergraduate and M.Sc degrees from BCKV and PAU in India, respectively, and PhD degree in Agronomy (Soil Science emphasis) from Louisiana State University, USA. He started his career as a post-doctoral researcher at West Virginia University, USA. He joined IITKgp as faculty in 2016. His research interest is the use of proximal and non-invasive sensors with machine learning for soil management. He has around 80 international journal publications. He is currently serving as the member of the editorial board of Geoderma, the global journal of soil science.
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 Course Duration : Jan-Apr 2022

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 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Mar-2022

 Exam Date : 23-Apr-2022

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Enrollment Statistics

Total Enrollment: 2623

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