Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network

Nicholas Ozor, JN Nwakaire, Alfred Nyambane, Wentland Muhatiah, Cynthia Ebere Nwobodo · 2025 · Frontiers in Artificial Intelligence

Summary. AI technologies can boost agricultural productivity and food security across Sub-Saharan Africa while reducing carbon emissions. The AI4AFS network funded projects in eight countries that developed AI solutions for pest and disease detection in crops like maize, cassava, and tomato. By prioritizing gender equality, social inclusion, and ethical practices, these projects demonstrate that responsible AI deployment strengthens farming systems. Success requires robust policy frameworks, capacity-building, and sustainable funding.

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@article{ozor-2025-enhancing-africa-s-agriculture-food,
  title   = {Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network},
  author  = {Nicholas Ozor and JN Nwakaire and Alfred Nyambane and Wentland Muhatiah and Cynthia Ebere Nwobodo},
  journal = {Frontiers in Artificial Intelligence},
  year    = {2025},
  doi     = {10.3389/frai.2024.1472236},
  url     = {https://doi.org/10.3389/frai.2024.1472236}
}

TY  - JOUR
TI  - Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network
AU  - Nicholas Ozor
AU  - JN Nwakaire
AU  - Alfred Nyambane
AU  - Wentland Muhatiah
AU  - Cynthia Ebere Nwobodo
JO  - Frontiers in Artificial Intelligence
PY  - 2025
DO  - 10.3389/frai.2024.1472236
UR  - https://doi.org/10.3389/frai.2024.1472236
ER  - 

Details

DOI

10.3389/frai.2024.1472236

Countries

Nigeria, Kenya, Uganda, Ghana, Senegal, Cameroon, Ethiopia, Malawi

Regions

Africa

Categories

agtech, food-systems, policy, general-innovation

Added

2026-06-01