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Ideal Workplace Solutions
NITA AccreditedIntermediatePhysical + Virtual10 daysTOG&524

Training on GIS & Remote Sensing for Crop Monitoring

Build skills in GIS and remote sensing for agriculture, with practical exercises for crop health assessment, mapping, and data-driven farm management.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This course delivers a strategic and practical approach to GIS and remote sensing for crop monitoring, equipping participants with the skills to collect, analyze, and interpret spatial and crop data. It emphasizes improving productivity, resource efficiency, and sustainable farm management.

Coverage spans satellite imagery analysis, GIS mapping, crop health assessment, yield prediction, and precision agriculture applications. Through case studies, hands-on exercises, and applied planning, participants learn to integrate geospatial data into operational planning, risk assessment, and strategic agricultural decision-making.

Duration

10 Days

Who Should Attend

  • Farmers and agribusiness managers

  • Agricultural extension officers and consultants

  • Researchers and students in agriculture and environmental sciences

  • NGOs and development practitioners in agricultural projects

  • Professionals interested in precision agriculture and geospatial technologies

Learning outcomes

What you'll walk away with

By the end of this course, participants will be able to:

  • Understand GIS and remote sensing principles and their applications in agriculture

  • Collect, process, and analyze spatial and crop data

  • Monitor crop health and identify stress factors using satellite imagery

  • Apply GIS for farm planning, resource allocation, and yield prediction

  • Integrate geospatial data into decision-making and risk management

Course modules

What we cover, module by module

Module 1: Introduction to GIS & Remote Sensing in Agriculture

  • Principles of GIS and remote sensing

  • Applications in crop monitoring and farm management

  • Types of spatial and imagery data

  • Case Study:Satellite-based crop monitoring for yield optimization

Module 2: Spatial Data Collection Methods

  • Sources of geospatial and field data

  • Data collection techniques and accuracy considerations

  • GIS database management

  • Case Study:Mapping farm boundaries and crop zones

Module 3: Crop Health Monitoring Using Remote Sensing

  • Using satellite imagery and drones for crop assessment

  • Vegetation indices (NDVI, EVI) and stress detection

  • Identifying nutrient deficiencies, pests, and diseases

  • Case Study:Remote sensing in detecting crop stress and optimizing interventions

Module 4: GIS Mapping and Spatial Analysis

  • Creating GIS maps for crop monitoring

  • Spatial analysis for trend identification

  • Integration with farm management systems

  • Case Study:GIS-based irrigation and fertilization planning

Module 5: Precision Agriculture Applications

  • Precision agriculture principles and technology integration

  • Site-specific management zones

  • Yield monitoring and variable-rate applications

  • Case Study:Precision farming for improved resource efficiency

Module 6: Data Integration and Crop Modeling

  • Combining GIS, remote sensing, and ground-truth data

  • Crop growth modeling and prediction

  • Risk assessment and scenario analysis

  • Case Study:Crop yield prediction using geospatial data

Module 7: Advanced Remote Sensing Techniques

  • Multi-spectral and hyperspectral imagery

  • Thermal and radar imagery for crop monitoring

  • Image processing and classification

  • Case Study:Monitoring crop health with advanced remote sensing

Module 8: Decision Support Systems & Farm Planning

  • Developing actionable insights from spatial data

  • Using GIS for resource allocation, scheduling, and risk management

  • Integration into farm management decision systems

  • Case Study:GIS-based farm decision support for large-scale operations

Module 9: Field Applications and Hands-on Exercises

  • Practical exercises in GIS and remote sensing software

  • Field verification of crop health and data collection

  • Interactive problem-solving with geospatial tools

  • Case Study:Implementing GIS-based monitoring in operational farms

Module 10: Capstone Project – GIS & Remote Sensing Plan

  • Designing a GIS and remote sensing crop monitoring plan

  • Presentation and peer review of project plans

  • Recommendations for farm-level and regional applications

Impact

Where the change lands

Personal Impact

  • Improved ability to analyze spatial and crop data for informed decisions

  • Enhanced skills in using GIS and remote sensing tools

  • Increased confidence in applying technology for crop monitoring and management

Organizational Impact

  • Optimized resource use and crop productivity

  • Improved planning and monitoring of agricultural operations

  • Enhanced capacity to adopt precision agriculture and technology-driven solutions

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

No. Foundational concepts are covered before advanced applications.

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Course finder

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Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on GIS & Remote Sensing for Crop Monitoring in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.

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