Project duration
24 Months
Start 10/03/22 End 09/03/24
Project-location
Nigeria
The SmartSoil project, under the AGriDI initiative, revolutionises sustainable agriculture in Southwest Nigeria through advanced digital soil mapping and artificial intelligence. Addressing critical gaps in soil fertility knowledge and accessibility, SmartSoil empowers farmers, extension agents, and policymakers with actionable insights on soil nutrient levels, crop suitability, and sustainable soil management. By leveraging mobile and web-based platforms, the project promotes data-driven decision-making, enhances agricultural productivity, and supports climate-smart farming practices, paving the way for inclusive green growth and improved livelihoods in the region.
SmartSoil is one of the 2 projects financed by AGriDI in Nigeria.
Visit the project website to learn more.
Publications
| Explore the project’s actions and objectives by clicking on the image below to read the factsheet:
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Discover how SmartSoil leverages AI-powered digital soil mapping to provide accessible, hyper-local soil information, fostering sustainable farming practices and improving agricultural productivity in Southwest Nigeria by clicking on the image below:
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Discover SmartSoil project’s progress: community engagement, AI-driven Digital Soil Mapping, impact on enhancing sustainable agricultural practices and productivity in Nigeria by clicking on the image below:
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Discover SmartSoil project’s 2023 plans: soil sample collection, SmartSoil app development, capacity-building workshops for stakeholders to enhance sustainable farming and agricultural productivity in Southwest Nigeria by clicking on the image below:
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| Discover SmartSoil project’s recent activities: georeferenced soil sample collection across Southwest Nigeria, GIS and AI-powered data analysis, development of a digital soil information system to empower farmers for sustainable agriculture by clicking on the image below:
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Explore ‘Farmers’ Perception and Practice of Soil Fertility Management and Conservation in the Era of Digital Soil Information Systems in Southwest Nigeria’ article by clicking on the image below:
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Explore the review on machine learning models for soil nutrient prediction, addressing challenges in data and AI adoption to enhance soil management and farming productivity by clicking on the image below:
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Project coordinator
Federal University of Agriculture, Abeokuta (FUNAAB) – Nigeria
Project partners