GIS and Spatial Analysis for Agriculture and Food Security

Objectives:
• Understand the fundamentals of GIS and spatial analysis in the context of agriculture.
• Explore the use of GIS for monitoring and managing agricultural resources.
• Analyze spatial data to improve food security planning and decision-making.
• Develop skills to apply GIS tools for sustainable agricultural practices.

Introduction to GIS and Spatial Analysis in Agriculture
• Overview of GIS concepts and tools
• The role of spatial data in agriculture and food security
• Key GIS techniques for agricultural analysis
• Types of spatial data and sources (remote sensing, GPS, etc.)
• Applications of GIS in agricultural monitoring and management

Data Collection and Preparation for GIS Analysis
• Methods of collecting spatial data in agriculture
• Preprocessing and cleaning of spatial data
• Introduction to spatial databases and data formats (shapefiles, rasters)
• Integrating data from various sources (satellite imagery, field surveys)
• Creating maps and visualizing agricultural data

Spatial Analysis Techniques for Agriculture
• Buffer analysis and proximity analysis in agriculture
• Terrain analysis and land suitability mapping
• Crop yield prediction using spatial models
• Spatial interpolation and its applications in agriculture
• Identifying spatial patterns in crop health and productivity

GIS Applications in Food Security and Sustainable Agriculture
• GIS in disaster management and risk assessment (droughts, floods)
• Monitoring food production and distribution using spatial tools
• GIS for sustainable land use and agricultural zoning
• Decision-making support for food security policies
• Case studies of GIS applications in agriculture and food security

DATE:
1ST BATCH: 22nd – 25th Apr, 2025
2ND BATCH: 5th – 8th Aug, 2025
3RD BATCH: 2nd – 5th Dec, 2025