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NITA AccreditedIntermediatePhysical + Virtual5 daysTOAD483

Training on Agricultural Data Systems & Digital Agriculture

Learn digital agriculture tools, agricultural data systems, and precision farming technologies to improve productivity and data-driven farm management.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 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

Digital technologies are transforming the agricultural sector by enabling better data collection, analysis, and decision-making. Agricultural data systems and digital agriculture tools help farmers, agribusinesses, and policymakers improve productivity, optimize resource use, and enhance sustainability across agricultural value chains.

This course equips participants with practical knowledge on how to use digital tools, data platforms, and information systems to support modern agriculture. The programme focuses on agricultural data collection, farm management systems, digital advisory platforms, precision agriculture technologies, and data-driven decision-making.

Participants will gain practical skills to leverage agricultural data and digital technologies to improve farm productivity, enhance agricultural planning, and strengthen agricultural information systems.

Duration

5 days

Who Should Attend

  • Agricultural extension officers

  • Agronomists and agricultural researchers

  • Agribusiness managers and value chain professionals

  • Data and ICT specialists in agriculture

  • Government officers in agricultural planning and policy

  • Development practitioners working in digital agriculture initiatives

Learning outcomes

What you'll walk away with

By the end of the training, participants will be able to:

  • Understand the role of digital technologies in modern agriculture

  • Apply agricultural data systems for farm and agribusiness management

  • Use digital platforms for agricultural advisory and extension services

  • Analyze agricultural data to support decision-making

  • Implement digital agriculture solutions for improved productivity

Course modules

What we cover, module by module

Module 1: Introduction to Digital Agriculture

  • Overview of digital agriculture and smart farming concepts

  • Role of data in agricultural decision-making

  • Digital transformation in agricultural value chains

  • Key digital agriculture technologies and platforms

  • Case Study: Digital agriculture initiatives improving farm productivity


Module 2: Agricultural Data Collection & Management

  • Types of agricultural data (farm, weather, soil, market data)

  • Digital tools for agricultural data collection

  • Data management systems for agriculture

  • Ensuring data quality, reliability, and security

  • Practical Exercise: Designing a farm data collection system


Module 3: Farm Management Systems & Digital Advisory Platforms

  • Digital farm management systems and applications

  • Mobile advisory platforms for farmers

  • Decision support systems for agriculture

  • Integrating agricultural data into farm planning

  • Case Study: Digital advisory systems for smallholder farmers


Module 4: Precision Agriculture & Smart Farming Technologies

  • Precision agriculture technologies and tools

  • Remote sensing, sensors, and farm monitoring systems

  • Digital irrigation and crop monitoring solutions

  • Integration of IoT and agricultural data systems

  • Workshop: Designing a digital farming solution


Module 5: Data Analytics & Future of Digital Agriculture

  • Agricultural data analysis and visualization

  • Data-driven decision-making in agriculture

  • Policies and frameworks for digital agriculture

  • Emerging technologies in smart farming

  • Group Project: Developing a digital agriculture strategy

Impact

Where the change lands

Individual Impact

  • Improved understanding of digital agriculture technologies

  • Skills in agricultural data collection and management

  • Ability to apply digital tools for farm management and decision-making

  • Enhanced capacity to support data-driven agricultural development

Organizational Impact

  • Improved agricultural planning and productivity through data use

  • Strengthened agricultural information systems and data management

  • Enhanced digital agriculture programs and initiatives

  • Better decision-making in agricultural policy and agribusiness operations

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 course covers digital agriculture technologies, agricultural data collection systems, farm management platforms, and data-driven agricultural decision-making.

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 Agricultural Data Systems & Digital 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.