Agriculture

Training Course on Robotic Harvesting and Post-Harvest Automation Solutions

Introduction

The rise of agricultural robotics is revolutionizing the way we approach crop harvesting and post-harvest handling. Training Course on Robotic Harvesting and Post-Harvest Automation Solutions provides participants with in-depth knowledge of the latest innovations in agri-tech, including AI-driven machinery, autonomous systems, precision agriculture, and automated grading, sorting, and packaging systems. With increasing labor shortages, rising global food demands, and the need for sustainable farming, robotic solutions are no longer futuristic—they are essential tools for modern agriculture.

This hands-on course empowers agribusiness professionals, researchers, and technology developers with critical insights and practical skills to deploy robotic automation for harvesting, quality control, and logistics. It emphasizes real-world applications through case studies, practical demonstrations, and emerging trends in smart farming, machine vision, sensor integration, and data-driven post-harvest systems. Participants will explore how automation improves efficiency, reduces waste, and enhances product consistency from field to market.

Programme Curriculum

Training Course on Robotic Harvesting and Post-Harvest Automation Solutions

Introduction

Course Objectives

Understand the fundamentals of robotic harvesting technologies in smart agriculture.
Identify AI-powered sensors and computer vision applications for crop detection.
Analyze autonomous harvesting equipment for different crop types.
Learn about robotics for soft fruit and vegetable harvesting.
Explore machine learning models for post-harvest quality assessment.
Investigate automation in sorting, grading, and packing processes.
Examine IoT integration for real-time post-harvest monitoring.
Apply robotic innovations in greenhouse and vertical farming environments.
Evaluate the ROI and operational efficiency of automated systems.
Understand safety, ethics, and labor impacts of agri-automation.
Design strategies for adopting robotics in smallholder farms.
Monitor predictive maintenance for robotic harvesters.
Develop future-ready post-harvest solutions with sustainability goals.

Target Audiences

Agronomists and Crop Scientists
Agricultural Engineers
Farm Equipment Manufacturers
Agri-Tech Entrepreneurs
Post-Harvest Managers
Smart Farming Solution Providers
Academic Researchers in Agri-Robotics
Government & NGO Agricultural Officers

Curse Duration: 5 days

Course Modules

Module 1: Introduction to Robotic Harvesting

Overview of agricultural automation trends
History and evolution of robotic harvesting
Types of robots used in crop harvesting
Importance of AI and IoT in automation
Safety and environmental considerations
Case Study: FFRobotics' Robotic Fruit Picker in Israel

Module 2: Crop Detection & AI-Based Vision Systems

Basics of computer vision in agriculture
Deep learning for crop maturity recognition
Image processing algorithms and tools
Sensor technologies for fruit/vegetable detection
Accuracy challenges in unstructured environments
Case Study: Blue River Technology’s LettuceBot AI System

Module 3: Autonomous Harvesting Equipment

Types of autonomous harvesters (tractors, drones)
Path planning and navigation systems
Automation for soft vs. hard crop harvesting
Energy efficiency and battery life concerns
Interoperability with other farm equipment
Case Study: Agrobot’s Strawberry Harvesting System in California

Module 4: Robotic Systems for Post-Harvest Handling

Robotics in sorting and grading
Use of hyperspectral imaging for quality control
Packaging automation with robotic arms
Conveyor systems and smart logistics
Integration with inventory management
Case Study: TOMRA’s Optical Sorting in Potato Industry

Module 5: Automation in Greenhouses and Vertical Farms

Role of robots in controlled-environment agriculture
Automated transplanting and seeding systems
Vertical farming with robotic shelf movers
LED sensors and climate control integration
Maintenance and robotic uptime efficiency
Case Study: Iron Ox Autonomous Greenhouse Farm

Module 6: ROI, Challenges, and Adoption Strategies

Cost-benefit analysis for robotic investment
Financing and funding opportunities
Barriers to adoption in small-scale farming
Training farmers and workforce transition
Legal and ethical implications
Case Study: FarmWise Autonomous Weed Control Implementation

Training Methodology

Interactive classroom sessions with multimedia support
Live demonstrations and field trials of robotic systems
Hands-on workshops with real-time sensor and AI tools
Expert guest lectures and panel discussions
Case study analysis and group assignments
Post-course assessments and certification

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Robotics Post-Harvest Automation Mechanization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000