The book Geoinformatics for Precision Farming has been designed in easy, clear, simple and appropriate way which covers maximum of chapters in Remote sensing for under graduate degree programme and competitive examinations. The most simplified form in this book has been taken from various standard books, previously asked repeated questions in exams, students and teachers. It stands as a final touch to scan the chapters of Remote sensing in Agriculture before a minute to examination.

Recognizing the rigorous demands and specific requirements of competitive exams, this book is structured to be concise, focused, and directly aligned with the syllabi and patterns commonly encountered in examinations of TNAU, ICAR, JRF, SRF, NET, ASRB and SAUs entrance. Emphasis has been placed on clarity, precision, and the inclusion of linear points and subjective type questions with answers for exam preparation. The need of 'Geoinformatics for Precision Farming' is to revise all the contents in TNAU RSG 101 (1+0) syllabus which included 5 units of Remote sensing, Geographic Information System (GIS), Geodesy, Precision Agriculture and Crop discrimination & models. Each of chapter included various types of one liner points in crispy form and subjective type questions along with answers which may help the students to face the final theory exams and other competitive examinations with great confidence of all the chapters of Remote Sensing.

Table of Contents..

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SECTION I. Concepts

1. Remote Sensing Concepts and Electromagnetic Radiation
2. Platforms and Sensors
3. Elements of Visual Photo/Image Interpretation
4. Digital Image Processing
5. GIS: Definition and Components and Functions
6. Data Models
7. Raster Data Analysis
8. Vector Data Analysis

SECTION II. Brief Notes

1. Remote Sensing Concepts
2. Platforms and Sensors
3. Elements of Visual Photo / Image Interpretation
4. Digital Image Processing
5. Geographic Information System (GIS)
6. Data Models
7. Raster Data Analysis
8. Vector Data Analysis
9. Geodesy and its Basic Principles
10. Global Positioning System
11. Precision Agriculture
12. Variable Rate Technology
13. Crop Discrimination and Yield Monitoring using Remote Sensing
14. Soil Mapping: Fertilizer Recommendation using Geospatial Technologies
15. Crop Simulation Models
16. Drones for Precision Agriculture

Table of Contents..

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