Training on AI & Data Analytics in Agriculture
Build skills to apply AI and data analytics for smarter, more productive, and resilient agricultural systems.
Next intake
20 Jul 2026 · Dakar
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Artificial Intelligence (AI) and data analytics are transforming agriculture by enabling precision farming, predictive decision-making, and smarter value chains. This training equips participants with practical knowledge and hands-on tools to collect, analyze, and apply agricultural data using AI-driven and data analytics approaches to improve productivity, resilience, and profitability.
Participants will explore real-world applications such as crop and livestock analytics, yield prediction, climate and weather data analysis, pest and disease monitoring, and digital advisory systems. The course emphasizes practical use cases, accessible tools, and data-driven decision-making for modern agriculture.
Duration
5 Days
Who Should Attend
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Agribusiness managers and agripreneurs
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Agricultural extension officers
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Researchers and data analysts in agriculture
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NGO and development practitioners
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Government agriculture and food security officers
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Agri-tech and digital agriculture professionals
What you'll walk away with
By the end of this course, participants will be able to:
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Understand AI and data analytics concepts in agriculture
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Identify agricultural data sources and tools
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Apply data analytics for farm and value chain decisions
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Use AI applications for prediction and optimization
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Support digital transformation in agriculture
What we cover, module by module
Module 1: Introduction to AI & Data Analytics in Agriculture
- Overview of AI, machine learning, and data analytics
- Agricultural data types and sources
- Use cases in crop, livestock, and value chains
- Case Study:Using data analytics to improve farm productivity
Module 2: Agricultural Data Collection & Management
- Farm data collection tools (sensors, mobile apps, surveys)
- Satellite, drone, and weather data (conceptual overview)
- Data quality, storage, and management
- Ethics and data privacy in agriculture
- Practical Exercise:Designing an agricultural data collection plan
Module 3: Data Analytics for Farm & Value Chain Decision-Making
- Descriptive and diagnostic analytics
- Yield estimation and performance analysis
- Market and price data analysis
- Visualizing agricultural data for insights
- Case Study:Analyzing yield and market trends for planning
Module 4: AI Applications in Precision & Climate-Smart Agriculture
- AI in crop health monitoring and pest detection
- Predictive analytics for weather and climate risks
- AI-driven advisory and decision-support systems
- Automation and smart farming technologies
- Case Study:Using AI to reduce climate and production risks
Module 5: Scaling Digital Agriculture & Future Trends
- Integrating AI tools into agribusiness operations
- Digital platforms and ecosystem partnerships
- Challenges in adoption and capacity building
- Future trends in AI and data-driven agriculture
- Capstone Activity:Developing an AI and data analytics application plan for agriculture
Where the change lands
Personal Impact
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Improved understanding of AI and data analytics concepts
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Enhanced ability to use data for agricultural decision-making
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Increased confidence in applying digital tools in agriculture
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Stronger analytical and problem-solving skills
Organizational Impact
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Improved farm productivity and efficiency
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Better risk management and climate resilience
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Data-driven planning and policy formulation
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Enhanced innovation and competitiveness in agriculture
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.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
DakarNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Johannesburg | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Dar es Salaam | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Nakuru | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Pretoria | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- DakarNext
20 Jul → 24 Jul·In-Person
Book this intake - Johannesburg
20 Jul → 24 Jul·In-Person
Book this intake - Dar es Salaam
20 Jul → 24 Jul·In-Person
Book this intake - Nakuru
20 Jul → 24 Jul·In-Person
Book this intake - Pretoria
27 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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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 AI & Data Analytics 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.