Precision Agriculture & Smart Farming Training Course

Precision Agriculture & Smart Farming Training Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Precision Agriculture & Smart Farming Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

This practical training course equips participants with knowledge and skills to apply precision agriculture, smart farming and digital technologies to improve agricultural productivity, resource efficiency and farm decision-making. The course introduces participants to precision farming technologies, agricultural drones, GIS, remote sensing, crop monitoring, agricultural data analytics, digital agriculture and artificial intelligence in agriculture.

Participants will learn how farm data and digital technologies can be used to monitor crops, identify crop stress, map agricultural resources, improve input application and support data-driven farming decisions. The course also provides practical exposure to emerging smart farming technologies and their application in modern agricultural production.

Course Duration

4 Days 

Target Audience

• Farmers and commercial farm managers
• Agricultural officers and extension professionals
• Agronomists and crop production specialists
• Agricultural entrepreneurs and agribusiness professionals
• Agricultural consultants and researchers
• Cooperatives and farmer organizations
• Agricultural technology and digital agriculture professionals
• Students and professionals seeking skills in precision agriculture

Personal Impact

• Develop practical knowledge of precision agriculture and smart farming
• Understand modern agricultural technology and digital farming systems
• Develop skills in agricultural GIS and remote sensing
• Improve ability to use agricultural data for decision-making
• Understand agricultural drone applications and drone mapping
• Develop knowledge of crop monitoring and crop stress detection
• Explore AI and IoT applications in agriculture
• Strengthen digital skills for modern farm management

Organizational Impact

• Improved agricultural productivity and resource efficiency
• Better crop monitoring and early identification of crop stress
• Improved utilization of water, fertilizer and other farm inputs
• More accurate farm mapping and planning
• Improved evidence-based agricultural decision-making
• Reduced production inefficiencies and operational costs
• Increased adoption of digital agriculture and agritech solutions

Course Objectives

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

• Explain the principles and applications of precision agriculture
• Apply precision farming techniques to agricultural production
• Identify and use appropriate precision agriculture tools and technologies
• Understand agricultural drones and drone-based farm mapping
• Apply GIS and remote sensing in agricultural management
• Use crop monitoring and crop stress detection approaches
• Apply agricultural data analytics to support farm decisions
• Understand smart farming, agricultural IoT and AI applications
• Develop a basic data-driven smart farming plan

02

Course Modules

Course Outline

Module 1: Precision Agriculture, Smart Farming and Digital Agriculture

  • Introduction to precision agriculture and precision farming

  • Principles and benefits of precision agriculture

  • Precision agriculture techniques and tools

  • Precision agriculture technology and systems

  • Smart farming and smart agriculture

  • Digital agriculture and agritech

  • Farm management technology

  • Agricultural IoT and connected farming systems

  • Data-driven farming and decision-making

  • Case Study: Applying smart farming technologies to improve farm productivity

Module 2: Agricultural Drones, GIS and Remote Sensing

  • Agricultural drones and drone farming applications

  • Drone-based crop monitoring and farm assessment

  • Drone mapping in agriculture

  • Agricultural GIS and GIS in agriculture

  • GIS for precision agriculture

  • Agricultural mapping and spatial data

  • Remote sensing in agriculture

  • Agricultural remote sensing applications

  • Satellite and aerial imagery for farm management

  • Integrating GIS, drone and remote-sensing data

  • Simulation: Developing a drone and GIS-based farm monitoring workflow

Module 3: Crop Monitoring, Agricultural Data Analytics and AI

  • Crop monitoring systems and technologies

  • Crop mapping and field variability assessment

  • Crop stress detection

  • Agricultural data collection and management

  • Agricultural data analytics and data analysis

  • Farm performance indicators and dashboards

  • Using data to guide input application and farm operations

  • Artificial intelligence in agriculture

  • Machine learning applications in crop management

  • Predictive and data-driven farming

  • Practical Exercise: Analysing agricultural data to identify crop management priorities

Module 4: Practical Precision Farming and Smart Agriculture Application

  • Practical farm mapping and field data collection

  • GPS and spatial data application in agriculture

  • Practical crop monitoring techniques

  • Identifying crop variability and crop stress

  • Interpreting agricultural GIS and remote-sensing information

  • Developing a precision farming intervention plan

  • Integrating drones, GIS, data analytics and smart farming technologies

  • Evaluating technology options and implementation costs

  • Activity: Develop a practical precision agriculture plan for a selected farm

03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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Kigali
Addis Ababa
Kuala Lumpur
Accra
Cairo
Pretoria
Cape Town
Johannesberg
Zanzibar
Arusha
Kisumu
Dubai
Mombasa
Nairobi
Nakuru
Machakos
Naivasha
Kampala