GIS and Remote Sensing for Agricultural Resource Management Course – Precision Farming, Crop Intelligence & GeoAI

GIS and Remote Sensing for Agricultural Resource Management Course – Precision Farming, Crop Intelligence & GeoAI

Agricultural Resource Management today depends heavily on scientific mapping, crop monitoring, soil analysis, irrigation planning, and yield forecasting. Traditional farming decisions are increasingly being replaced by GIS, Remote Sensing, Drone Data, and GeoAI-based precision agriculture systems.

This Space Borne course is designed as a complete professional program to train students in how geospatial technologies are used to manage agricultural resources efficiently.

It is ideal for:

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Agriculture students
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Agri engineers
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Researchers
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GIS professionals
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Government agriculture mission aspirants

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Precision farming consultants
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🌾 What is Agricultural Resource Management using GIS?

Agricultural Resource Management means the scientific assessment, planning, monitoring, and optimization of all farm-related resources, such as:

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Land resources
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Soil resources
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Water resources
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Crop resources
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Climate resources
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Nutrient resources
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Using GIS and Remote Sensing, all these can be monitored spatially for better productivity.

🚀 Why This Course is Highly Relevant Today?

Because agriculture is now shifting towards:

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Precision farming
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Climate-smart agriculture
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Crop insurance mapping
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Yield estimation
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Smart irrigation
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Pest/disease monitoring
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All these need geospatial technology.

🎯 COURSE OBJECTIVE

Students will learn to:

✔ Map agricultural land resources
✔ Analyze soil suitability
✔ Monitor crop health using satellite data
✔ Estimate crop acreage and productivity
✔ Prepare irrigation and watershed plans
✔ Perform drought/flood crop damage analysis
✔ Apply GeoAI for smart agriculture

📚 COMPLETE COURSE MODULES

🟢 Module 1: Fundamentals of Agricultural GIS

Introduction to agricultural resource mapping

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Spatial and non-spatial farm datasets
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GIS applications in agriculture
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🟢 Module 2: GIS Software Training

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Working with QGIS
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Working with ArcGIS and ArcGIS Pro
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Farm boundary digitization
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Attribute data management
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🎯 Practical:

Agricultural village base map preparation

🟢 Module 3: Satellite Data for Agriculture

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Sentinel-2 / Landsat imagery
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Spatial, spectral, temporal resolution
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Image downloading and preprocessing
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🎯 Practical:

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Multi-date crop imagery preparation
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🟢 Module 4: Land Use Land Cover Mapping

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Agricultural land extraction
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Crop field boundary mapping
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Seasonal land use analysis
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🎯 Practical:

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Agricultural LULC classification
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🟢 Module 5: Vegetation Health Monitoring (Very Important)

Additional indices:

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NDWI for moisture
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SAVI for sparse vegetation
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EVI for biomass
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🎯 Practical:

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Crop vigor assessment map
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🟢 Module 6: Soil Resource Mapping

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Soil texture
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Soil fertility
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pH and nutrient mapping
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Suitability zonation
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🎯 Practical:

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Soil fertility GIS map
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🟢 Module 7: Irrigation & Water Resource Planning

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Canal command mapping
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Farm pond suitability
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Watershed delineation
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Groundwater recharge planning
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🎯 Practical:

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Irrigation management map
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🟢 Module 8: Crop Acreage & Crop Type Estimation

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Crop signature interpretation
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Supervised classification
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Seasonal crop area estimation
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🎯 Practical:

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Paddy/Wheat crop acreage map
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🟢 Module 9: Drought & Crop Stress Assessment

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Moisture deficiency analysis
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Rainfall anomaly mapping
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Crop loss zonation
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🎯 Practical:

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Drought vulnerability map
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🟢 Module 10: Yield Prediction using GIS Variables

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NDVI based yield relation
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Rainfall relation
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Soil suitability relation
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Sample field statistics
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🎯 Practical:

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Crop productivity prediction
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🟢 Module 11: Precision Agriculture & Drone GIS

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GPS farming
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Drone orthomosaic basics
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Site specific nutrient management
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Variable rate farming concept
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🟢 Module 12: Python Automation for Agriculture GIS

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Basics of Python
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Raster calculation automation
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Batch crop health extraction
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Time series monitoring
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🎯 Practical:

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Auto NDVI generation script
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🟢 Module 13: GeoAI in Smart Farming

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Machine learning crop classification
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Disease detection concept
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Yield forecasting models
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AI-based resource optimization
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🟢 Module 14: Final Integrated Agricultural Project

Students will prepare a full project on:

Agricultural Resource Suitability and Crop Health Monitoring of a Selected Block

Deliverables:

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Soil map
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Irrigation map
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NDVI map
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Crop acreage map
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Drought risk map
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Final agricultural suitability map
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🧠 SOFTWARE + DATASETS COVERED

Software:

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QGIS
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ArcGIS
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ArcGIS Pro
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Google Earth Engine
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MS Excel
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Datasets:

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Sentinel-2 imagery
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Landsat imagery
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DEM
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Soil maps
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Rainfall data
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Village cadastral boundaries
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💼 CAREER OPPORTUNITIES

After this course:

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Agricultural GIS Analyst
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Precision Farming Consultant
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Crop Monitoring Specialist
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Agri Remote Sensing Analyst
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GeoAI Agriculture Researcher
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Government Agriculture Project Consultant

⏳ COURSE DURATION

1 Month / 45 Days / 2 Months advanced mode

📞 Contact

Space Borne
info@spaceborne.in
6371303843

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