Course overview
Precision Agriculture Using GIS, GPS and Remote Sensing is a practical professional development workshop designed to equip participants with the knowledge and technical skills required to apply geospatial technologies in modern agricultural production, farm management and agricultural resource planning.
Precision Agriculture Training, GIS for Agriculture, GPS in Agriculture, Remote Sensing for Agriculture, Precision Farming Course, Agricultural GIS Training, Satellite Imagery for Crop Monitoring, NDVI Analysis Training, Smart Farming Technologies, Agricultural Spatial Analysis.
Course objectives
- Explain the principles and applications of precision agriculture and the role of GIS, GPS and remote sensing in modern agricultural production.
- Apply geospatial data analytics and emerging technologies to improve agricultural productivity, resource efficiency and climate resilience.
- Collect, manage and analyse spatial data using GPS devices, mobile data collection applications and GIS software.
- Acquire, process and interpret satellite and drone imagery for agricultural land assessment and crop monitoring.
- Apply spatial analysis techniques to assess soil variability, crop health, terrain characteristics, irrigation requirements and agricultural suitability.
- Develop agricultural maps, vegetation indices and geospatial decision-support products for farm planning and resource management.
Who should attend
Agricultural officers, agronomists, agricultural extension professionals, farm managers, precision agriculture specialists, GIS analysts, remote sensing professionals, land-use planners, agricultural researchers, soil scientists, irrigation specialists, crop production officers, agricultural consultants, environmental specialists, climate change professionals, agricultural development project officers, university lecturers, postgraduate students, NGOs and development organisation staff.
Course content
- Module 1. Foundations of Precision Agriculture and Geospatial Technologies 1. Concepts and evolution of precision agriculture, principles of site-specific crop management, conventional versus precision farming approaches, role of GIS GPS and remote sensin
- Module 2. GPS Technology and Field Data Collection for Agriculture 1. Fundamentals of Global Positioning Systems and satellite-based positioning, GPS receivers and smartphone-based positioning applications, coordinate systems and geographic referencing, c
- Module 3. GIS for Agricultural Mapping and Spatial Data Management 1. Introduction to GIS concepts and agricultural spatial information systems, raster and vector data models for agricultural applications, importing and managing agricultural spatial datas
- Module 4. Remote Sensing and Satellite Imagery for Agricultural Monitoring 1. Principles of remote sensing and electromagnetic radiation, satellite sensors and Earth observation platforms, optical and multispectral satellite imagery, Sentinel-2 and Landsa
- Module 5. Vegetation Indices and Crop Health Assessment 1. Fundamentals of vegetation indices and spectral signatures, Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Soil-Adjusted Vegetation Index (SAVI), crop vigour an
- Module 6. Soil Mapping, Land Suitability and Agricultural Resource Assessment 1. Spatial assessment of soil properties and soil variability, soil sampling strategies and georeferencing, soil pH organic matter texture and nutrient mapping, digital soil map
- Module 7. Precision Irrigation and Water Resource Management 1. GIS applications in agricultural water resource management, remote sensing for soil moisture and water availability assessment, mapping irrigation infrastructure and agricultural water source
- Module 8. Drone Technology and High-Resolution Agricultural Mapping 1. Introduction to agricultural drone technology and applications, UAV platforms and agricultural sensors, flight planning and field survey preparation, drone image acquisition and proces
- Module 9. Spatial Analysis, Crop Modelling and Agricultural Decision Support 1. Spatial overlay and suitability analysis for crop production, terrain analysis and agricultural topographic assessment, spatial interpolation and mapping of agricultural varia
- Module 10. Agricultural Data Analytics, Artificial Intelligence and Machine Learning 1. Introduction to agricultural geospatial data analytics, integration of satellite imagery and field observations, machine learning for crop classification and land-cove
- Module 11. Precision Agriculture Implementation and Practical Applications 1. Development of precision agriculture workflows and farm management plans, integration of GPS GIS satellite imagery and field observations, preparation of farm-level spatial info
- 5. Practical Workshop Activities Participants will undertake hands-on exercises using real or sample agricultural datasets and geospatial software. Activities will include collecting GPS coordinates of agricultural fields, mapping farm boundaries, downloa
- Expected Practical Outputs: A georeferenced agricultural farm boundary map, GPS-based agricultural field inventory, agricultural GIS database, processed satellite imagery dataset, NDVI and vegetation health maps, crop condition assessment map, soil prope
General notes
- Expected Practical Outputs: A georeferenced agricultural farm boundary map, GPS-based agricultural field inventory, agricultural GIS database, processed satellite imagery dataset, NDVI and vegetation health maps, crop condition assessment map, soil property distribution map, agricultural land suitability map, irrigation and water resource map, digital elevation and slope maps for agricultural planning, drone-derived agricultural orthomosaic, crop classification map, agricultural spatial analysis report, precision agriculture implementation plan and a geospatial decision-support dashboard or map portfolio.
- Practical Workshop Activities Participants will undertake hands-on exercises using real or sample agricultural datasets and geospatial software. Activities will include collecting GPS coordinates of agricultural fields, mapping farm boundaries, downloading Sentinel-2 and Landsat imagery, processing satellite images, calculating NDVI and other vegetation indices, assessing crop health using satellite imagery, generating soil property maps, conducting land suitability analysis for selected crops, mapping irrigation infrastructure and water resources, analysing terrain and slope for agricultural planning, processing drone imagery, performing spatial overlay and interpolation, developing crop classification models, analysing agricultural time-series data and producing precision agriculture decision-support maps.
- GIS and Remote Sensing for Agriculture, Food Security and Climate Change Drone Technology and UAV Mapping for Precision Agriculture AI and Machine Learning Applications in Agriculture Agricultural Data Analytics, Crop Yield Forecasting and Predictive Modelling Digital Soil Mapping and Land Suitability Assessment Using GIS Smart Irrigation, Soil Moisture Monitoring and Agricultural Water Management Climate-Smart Agriculture and Digital Climate Information Systems
Frequently asked questions
1. 1. What is precision agriculture?
Precision agriculture is an approach to farm management that uses spatial data, GPS, GIS, remote sensing and other technologies to understand variations within agricultural fields and improve the management of crops, soil, water and other production resources.
2. 2. Do I need prior GIS or remote sensing experience?
No. The workshop introduces the fundamental concepts and progressively develops practical skills. Basic computer literacy is sufficient, although previous GIS experience is an advantage.
3. 3. Which GIS software will be used during the workshop?
The workshop primarily uses QGIS and may introduce ArcGIS Pro, Google Earth Engine and other relevant geospatial tools depending on the practical exercises.
4. 4. Will participants learn to use satellite imagery for crop monitoring?
Yes. Participants will learn how to acquire and process satellite imagery, calculate vegetation indices such as NDVI, assess crop health and produce agricultural monitoring maps.
5. 5. What practical skills will participants gain?
Participants will gain practical skills in GPS field data collection, agricultural mapping, satellite imagery processing, vegetation monitoring, soil and land suitability analysis, irrigation mapping and geospatial decision-support development.
Schedule & fees
| Dates | Location | Duration | Fee (USD) |
|---|
| 01/02/2027 - 12/02/2027 |
Naivsha,Kenya |
10 Days |
$2,000 |
| 02/08/2027 - 13/08/2027 |
Nairobi,Kenya or Virtual |
10 Days |
$2,000 |