A. Definition and principles of GIS and remote sensing
B. Importance and benefits of GIS and remote sensing in agriculture
C. Overview of agricultural applications and case studies

A. Basic components and functionality of GIS
B. Geospatial data types and formats
C. Spatial data collection methods
E. Data management and analysis techniques in agriculture

A. Introduction to remote sensing technology
B. Types of remotely sensed data (optical, thermal, radar)
C. Satellite and airborne platforms for agricultural monitoring
D. Preprocessing and image enhancement techniques

A. Techniques for image acquisition and data retrieval
B. Spectral analysis and vegetation indices for crop monitoring
C. Land use and land cover classification
D. Change detection and time-series analysis for agriculture

A. Precision agriculture and site-specific crop management
B. Soil mapping and fertility assessment
C. Water resource management and irrigation optimization
D. Crop yield estimation and forecasting

A. Integration of GIS and remote sensing in decision making
B. Modeling and simulation techniques in agricultural planning
C. Spatial analysis for risk assessment and yield optimization
D. Spatial tools for sustainable agricultural practices

A. Real-world examples of GIS and remote sensing in agriculture
B. Hands-on exercises using industry-standard software and tools
C. Field visits or virtual tours to agricultural sites utilizing GIS and remote sensing

A. Advanced technologies in GIS and remote sensing for agriculture
B. Internet of Things (IoT) and sensor networks in farming
C. Machine learning and artificial intelligence in agricultural applications
D. Ethical considerations and challenges in agricultural data management

A. Exam and Assessment

A. Certificate