Course

Syllabus

Theory:

Introduction and history of remote sensing; sources, Principles of remote sensing, propagation of radiations in atmosphere; Interaction with matter; Application of remote sensing techniques land use soil surveys; crop stress and yield forecasting; Advantages and disadvantages of remote sensing; Remote sensing institutes in India; Basic Concepts about geoinformatics.

Data sharing; Expert System: Introduction to expert system, Characteristics and features of expert system, Applications of Expert System, Importance of Expert system, Rule based system architecture; Software Agents; Impact of Block chain and it’s concepts; Probability and Statistics: Bayes Theorem, correlation and Covariance, Continuous Random variables and probability distribution function, various forms of distributions, central limit theorem; Basics of Machine Learning: Random forest, SVM, ensemble methods; Basics of Deep learning: various model architectures and it’s training aspects; Hyperspectral and Thermal Remote Sensing; Proximal Soil and Crop Sensors.

Practical:

Familiarization with different remote sensing equipment and data products, Interpretation of aerial photographs and satellite data for mapping of land resources, Global positioning system (GPS), Basics of Geographic Information System (GIS), Georeferencing of toposheets, Digital soil mapping with different variables, Basics of multivariate data analytics, Principal component analysis and regression applications, clustering methods and geostatistics are essential in agricultural studies.

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Objectives

1. Enabling students acquire knowledge on basics of remote sensing technique for precision farming applications

2. To provide a comprehensive knowledge of remote sensing, precision farming and its benefits in improving crop production and soil health management

Course Outcome:

Any student who has undergone the course shall be able to:

1. Data Analytics in Bioinformatics: A Machine Learning Perspective. Editor(s):.Rabinarayan Satpathy, Tanupriya Choudhury, Suneeta Satpathy, Sachi Nandan.
2. Machine Learning Approaches to Bioinformatics by Zheng Rong Yang
3. Text Book of Remote Sensing and Geographical Information Systems by M. Anji Reddy
4. Precision Agriculture Technologies for Food Security and Sustainability by A El-Kader, M Sherine, M El-Basioni, M Basma.
5. Principles and Theory of Geoinformatics by P.K. Garg. Khanna Publishers. 296p
6. Advances in Geoinformatics Remote Sensing and GIS by Bhunia, Gouri Sankar & Uday Chatterjee & Gopal Krishna Panda, BIO GREEN
7. Artificial Intelligence: Machine Learning, Deep Learning, and Automation Processes, John Adamssen, Efalon Acies
8. Remote Sensing and Image Interpretation, Willey Student Edition
9. Remote Sensing and Geographic Information: A.M.Chandra and S.K.Ghosh, Narosa