AGRICULTURE
In Data-driven Agriculture:
Implementation and Case Study
INNODEMS, leveraging its experience with agricultural research in Niger, played a key role in a project supporting the Federation Des Unions De Producteurs De Maradi (FUMA Gaskiya) in their use of digital technologies for agricultural data analysis. INNODEMS developed a tailored menu in R-Instat to help FUMA and other organizations more easily analyze large agricultural research datasets.
This tool was particularly valuable in assessing the effectiveness of low-cost fertilizers in a trial involving 1,500 farmers, with findings soon to be published.
The project culminated in workshops across two regions of Niger, where INNODEMS shared FUMA’s research insights and their approach to implementing the Farmer Research Network (FRN) model.
These workshops aimed to promote the FRN approach on a larger scale, attracting participation from farmers, agricultural organizations, local government representatives, and mathematics and statistics students who learned to analyze data using R-Instat. INNODEMS is enthusiastic about contributing to this innovative research methodology that has the potential to significantly impact agriculture in West Africa and beyond.
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Our origins in academia have given us an appreciation of deep understanding and knowledge, which translates into a preference for long term collaborations rather than quick fixes.