ClimMob is an open-source software platform designed for experimental citizen science in agriculture, using the tricot (triadic comparison of technologies) method.

It enables farmers to test and rank three agricultural options (e.g., crop varieties) in real-world conditions. Data is collected via the ODK Collect app and analyzed using ClimMobTools in R. The tool simplifies participatory trials by supporting project design, randomization, data collection, analysis, and reporting. It is useful across the research pathway—from trial setup to data analysis and sharing results—making participatory testing more scalable, efficient, and farmer-centered.

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What does ClimMob do?

In what context is this tool useful?

ClimMob is useful in participatory agricultural research where farmers test technologies on their own farms. The expected outcome is reliable, farmer-driven data that informs better agricultural decisions and supports scalable innovation.

Results achieved

The ClimMob platform, through initiatives like 1000FARMS and BOLDER, has significantly expanded participatory on-farm research across the globe. To date, 469 trials have been conducted in 19 countries, involving 74,347 participants—42.06% of whom are women—and supported by 1,727 registered users from 63 countries. In African countries such as Nigeria and Uganda, the 1000FARMS project is building a continent-wide network for on-farm variety testing to accelerate the development of climate-adapted, farmer-preferred crop varieties. It is endorsed by CGIAR/NARES Breeding Networks as the standard for validation trials. The BOLDER initiative complements this by integrating ClimMob with genebank and breeding platforms to promote nutrient-rich, climate-resilient crops like millet, Bambara groundnut, and traditional African leafy vegetables.

Variations, scaling and adaptations

ClimMob is highly adaptable and scalable, making it useful across various agricultural research contexts. It has been applied in Africa through the 1000FARMS project for climate-resilient crop breeding and in the BOLDER initiative for conserving underutilized crops like millet and Bambara groundnut. Its open-source, modular design, multilingual support, and integration with platforms like BreedBase enable researchers to easily adapt, replicate, and scale trials. Standardized templates and rich metadata improve data quality and comparability, making ClimMob suitable for broader applications and future integration with AI-driven analysis.

Tools often used together with this tool

ODK Collect - Used for mobile data collection in the field. Farmers and field agents input data offline, which is later synchronized with ClimMob. https://getodk.org/

ClimMobTools - An open-source R package designed for advanced statistical analysis of ClimMob-collected data.

 

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