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NITA AccreditedIntermediatePhysical + Virtual10 daysRSAAC

Training on Remote Sensing Applications in Agriculture

Master remote sensing applications in agriculture. Learn to monitor crop health, assess yield potential, and optimize agricultural practices using satellite and drone imagery.

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 provides an in-depth understanding of how remote sensing technologies can be effectively applied in agriculture. Participants will explore the various techniques and tools used to collect and analyze remote sensing data, focusing on improving agricultural productivity, monitoring crop health, managing natural resources, and supporting sustainable farming practices. Through practical examples and case studies, learners will gain the skills needed to apply remote sensing in real-world agricultural scenarios.

Duration

10 Days

Who Should Attend

  • Agricultural scientists and researchers
  • Agronomists and farm managers
  • Environmental consultants and natural resource managers
  • GIS specialists and remote sensing professionals
  • Students and academicians interested in precision agriculture
  • Government and non-governmental organization (NGO) professionals working in agriculture and rural development
Learning outcomes

What you'll walk away with

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

  • Understand the fundamentals of remote sensing and its relevance to agriculture.
  • Learn to use remote sensing tools and technologies for crop monitoring and management.
  • Analyze remote sensing data to assess crop health, soil moisture, and other vital parameters.
  • Apply remote sensing techniques to support precision agriculture practices.
  • Evaluate the role of remote sensing in sustainable agriculture and natural resource management.
  • Integrate remote sensing data with Geographic Information Systems (GIS) for comprehensive agricultural analysis.
  • Understand the applications of satellite and drone imagery in agriculture.
  • Develop skills to interpret and utilize multispectral and hyperspectral remote sensing data.
  • Learn to design and implement remote sensing projects for agricultural purposes.
  • Explore the latest trends and innovations in remote sensing technology for agriculture.
Course modules

What we cover, module by module

Module 1: Introduction to Remote Sensing in Agriculture

  • Overview of remote sensing technology and its applications in agriculture.
  • Key concepts: electromagnetic spectrum, spatial resolution, spectral bands.

Module 2: Remote Sensing Platforms and Sensors

  • Types of remote sensing platforms: satellites, UAVs, and airborne systems.
  • Overview of different sensors used in agriculture: multispectral, hyperspectral, thermal.

Module 3: Crop Monitoring and Management

  • Techniques for monitoring crop growth and development using remote sensing.
  • Identifying crop stress, diseases, and pest infestations from remote sensing data.

Module 4: Soil Moisture and Irrigation Management

  • Assessing soil moisture levels using remote sensing.
  • Application of remote sensing in optimizing irrigation practices.

Module 5: Vegetation Indices and Their Applications

  • Calculation and interpretation of vegetation indices (NDVI, EVI).
  • Using vegetation indices for yield prediction and crop health assessment.

Module 6: Precision Agriculture and Variable Rate Technology (VRT)

  • Integrating remote sensing with precision agriculture practices.
  • Implementing VRT based on remote sensing data for site-specific crop management.

Module 7: Mapping and Monitoring Crop Water Use

  • Estimating evapotranspiration using remote sensing.
  • Monitoring crop water use efficiency and drought assessment.

Module 8: Use of Drones in Agricultural Remote Sensing

  • Advantages and challenges of using UAVs in agriculture.
  • Practical applications of drone-based remote sensing for crop scouting and mapping.

Module 9: Satellite Remote Sensing for Agricultural Policy and Decision Making

  • Role of satellite imagery in supporting agricultural policy and planning.
  • Case studies on the use of remote sensing in agricultural decision-making.

Module 10: Case Studies and Future Trends in Agricultural Remote Sensing

  • Real-world examples of successful remote sensing applications in agriculture.
  • Exploration of emerging technologies and future trends in the field.
Impact

Where the change lands

Organisational Impact

  • Enhances agricultural productivity through data-driven monitoring of crops, soil, and natural resources.

  • Supports precision farming practices, reducing costs and improving yield quality.

  • Strengthens capacity to detect and address issues such as pests, diseases, and water stress early.

  • Promotes sustainable agriculture by optimizing resource use and reducing environmental impact.

  • Builds organisational expertise in applying cutting-edge remote sensing technologies to agricultural operations.

Personal Impact

  • Equips participants with practical skills in applying remote sensing to agricultural challenges.

  • Expands career opportunities in precision farming, agribusiness, research, and consultancy.

  • Builds confidence in analyzing satellite imagery and aerial data for crop health and resource management.

  • Enhances technical capacity to apply geospatial tools for sustainable and efficient farming practices.

  • Empowers participants to contribute to innovations that improve food security and rural development.

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.

The goal is to equip you with the skills to use remote sensing for agricultural applications. You'll learn to analyze satellite and drone imagery to monitor crop health, manage resources, and increase yields.

Course finder

Find the right course for you

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 Remote Sensing Applications in Agriculture 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.