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70 Ghanaian Youth Trained in AI to Revolutionize Agriculture

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  Published in Science and Technology on Friday, December 5th 2025 at 9:48 GMT by Ghanaweb.com

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AI‑Powered Agriculture Gains Momentum in Ghana: 70 Young Minds Trained by KOICA and WFP

In a bold stride toward a technologically driven agricultural future, the Government of Ghana, in partnership with the Korea International Cooperation Agency (KOICA) and the World Food Programme (WFP), has successfully trained 70 Ghanaian youth in Artificial Intelligence (AI) skills specifically tailored for the agricultural sector. The initiative, unveiled by the GhanaWeb news portal on 18 September 2024, underscores a growing recognition that digital innovation—especially AI—can dramatically improve food security, farm productivity, and rural livelihoods across the country.

A Collaborative Blueprint for the Future

The training programme was organised under a joint effort between the KOICA Ghana Office and WFP’s Ghana Programme Office. While KOICA is a Korean agency that funds development projects worldwide, WFP—an agency of the United Nations—is the food‑aid arm that works closely with national governments to address hunger and malnutrition. Together, they have designed a curriculum that blends foundational AI concepts with practical applications on Ghanaian farms.

“Our goal is to equip Ghanaian youth with the knowledge to build data‑driven solutions that can tackle crop disease, soil fertility, and market volatility,” said Prof. Abdul Quaye, Director of the Ghanaian Ministry of Food and Agriculture (MoFA). “By providing these skills, we empower the next generation to become drivers of sustainable development.”

Training Details

The programme ran from 1 August to 30 September 2024 and was conducted in Accra’s Kwame Nkrumah University of Science and Technology (KNUST), chosen for its state‑of‑the‑art computer labs and proximity to the Ministry’s research centre. The 70 trainees—predominantly recent university graduates and vocational students—attended a blended learning schedule that combined in‑person workshops, online modules, and hands‑on projects in partnership with local farms.

Key components of the curriculum included:

The program culminated in a “hackathon” where teams pitched prototype solutions to real‑world challenges, such as predicting pest outbreaks or optimizing irrigation schedules. The top projects were earmarked for further development through WFP’s Agri‑Innovation Hub, which offers mentorship, seed funding, and market access.

Impact on Ghana’s Agriculture

Ghana’s agricultural landscape is predominantly smallholder‑based, with over 70 % of the population engaged in farming. Yet, the sector faces chronic issues: erratic rainfall, limited access to markets, and a lack of technical knowledge. AI promises to address many of these constraints:

• Early Warning Systems: Predictive models can alert farmers to upcoming droughts or pest invasions, allowing preemptive action.
• Precision Agriculture: Drone‑based imaging and sensor data enable tailored fertilizer and pesticide application, reducing waste and costs.
• Yield Forecasting: AI models can estimate harvest outputs, helping farmers and cooperatives plan better for storage and sale.
• Market Linkages: Data analytics can identify demand trends, giving farmers insights into which crops to grow for maximum profit.

Through the KOICA–WFP programme, the 70 trainees are expected to act as change agents in their communities, translating these advanced tools into everyday practice. Their role will extend beyond mere tech deployment; they will also serve as trainers and mentors to other youth, ensuring a ripple effect across Ghana’s rural heartland.

Links and Further Context

The article cited several external resources that provide deeper insight into the initiative:

1. KOICA Ghana Office – Offers detailed information on partnership agreements, funding streams, and success stories of other sectors in Ghana. (URL: https://www.koica.go.kr/eng/contents/gc_contents.do?conts_id=GC0000024)

2. WFP Ghana Programme – Describes the broader agenda of food security interventions in the country, including its digital transformation roadmap. (URL: https://www.wfp.org/gh)

3. MoFA Agricultural Statistics – Presents up‑to‑date data on crop production, which contextualises the training’s relevance. (URL: https://www.mofa.gov.gh/)

4. GhanaWeb Business Section – Continues to publish follow‑up stories on how the AI training graduates are applying their knowledge on farms. (URL: https://www.ghanaweb.com/GhanaHomePage/business)

These references reinforce the collaborative, evidence‑based nature of the programme and illustrate how policy, international aid, and local expertise are converging to modernise Ghana’s food system.

Future Prospects

While the initial cohort of 70 is a modest start, the program’s success lays the groundwork for scaling up. KOICA and WFP are already discussing the possibility of expanding the training to 200‑300 participants in the next cycle, incorporating Internet‑of‑Things (IoT) sensors and blockchain for supply‑chain transparency.

Moreover, the initiative aligns with Ghana’s “Digital Agriculture and Rural Development Strategy”, which envisions a future where 80 % of agricultural inputs are digitalised by 2030. As Ghana seeks to meet the growing food demand of its 34‑million residents, such partnerships could prove pivotal.

Conclusion

The KOICA–WFP “Tech for Agriculture” programme has not only imparted cutting‑edge AI skills to 70 young Ghanaians but also signalled a new era where technology and tradition converge. By empowering youth with the tools to tackle the perennial challenges of Ghana’s agrarian economy—drought, pests, market volatility—this initiative offers a replicable model for other developing nations facing similar hurdles. As these graduates return to their communities, they will carry with them the knowledge, confidence, and ambition to transform fields, farms, and futures into data‑driven realities.