Semester VII
Geoinformatics and Remote Sensing, Precision Farming
EC 4115 · 4 (3+1) credit hours
Syllabus
Topic-wise syllabus
Elective course. Students choose five electives in Semester VII.
Theory
17 topics · 16 lectures
| No. | Topic | Lectures |
|---|---|---|
| Unit I | ||
| 1 | Introduction and History of Remote Sensing | 1 |
| 2 | Sources and Principles of Remote Sensing | 1 |
| 3 | Propagation of Radiations in Atmosphere, Interaction with Matter | 1 |
| 4 | Introduction to Geoinformatics and Data Sharing | 1 |
| 5 | Applications in Land Use and Soil Surveys | 1 |
| 6 | Crop Stress Detection and Yield Forecasting | |
| Unit II | ||
| 7 | Advantages and Disadvantages of Remote Sensing | 1 |
| 8 | Remote Sensing Institutes in India | 1 |
| 9 | Introduction to Expert Systems | 1 |
| 10 | Rule-Based System Architecture | 1 |
| 11 | Software Agents and their Role | 1 |
| 12 | Impact of Blockchain in Data Security and Agriculture | 1 |
| Unit III | ||
| 13 | Bayes Theorem, Correlation, and Covariance | 1 |
| 14 | Probability Distributions and Central Limit Theorem | 1 |
| 15 | Basics of Machine Learning: RF, SVM, Ensemble Methods | 1 |
| 16 | Basics of Deep Learning: Architectures and Training | 1 |
| 17 | Hyperspectral & Thermal Remote Sensing; Proximal Sensors | 1 |
Practical
10 topics
| No. | Topic |
|---|---|
| 1 | Familiarization with Remote Sensing Equipment and Data Products |
| 2 | Interpretation of Aerial Photographs and Satellite Imagery |
| 3 | Mapping of Land Resources Using Satellite Data |
| 4 | Use and Operation of Global Positioning System (GPS) |
| 5 | Basics of Geographic Information System (GIS) |
| 6 | Georeferencing of Toposheets and Satellite Images |
| 7 | Digital Soil Mapping Using GIS and Remote Sensing Data |
| 8 | Basics of Multivariate Data Analytics |
| 9 | Principal Component Analysis (PCA) and Regression in Agricultural Studies |
| 10 | Clustering and Geostatistical Methods |
Study material
Notes
Hindi
Being added
English
Being added