Smallholder farmers across South Asia and Sub-Saharan Africa — where landholding sizes average below two hectares — faced limited access to agricultural expertise, weather information, and market intelligence. Traditional extension services could not reach millions of small farms scattered across vast geographies. Extreme weather variability driven by climate change rendered historical yield models unreliable, while regional crop-variety diversity demanded localised model adaptation. CropIn's mission to digitise agriculture in emerging markets confronted environments where ground-truth data is scarce, fragmented, and manually recorded in inconsistent formats.
CropIn developed a satellite-first intelligence platform — recognised as a 2024 Technology Pioneer by the World Economic Forum — that derives crop-health indicators, growth-stage classifications, and yield predictions from multi-spectral and synthetic-aperture-radar satellite imagery, eliminating dependency on ground-based sensors. The platform has been deployed across 30 million acres of farmland in over 100 countries, covering 400 crops and 10,000+ crop varieties, and affecting more than 7 million farmers.
A mobile-first interface delivers actionable advisories — pest-risk alerts, optimal harvest-window predictions, and irrigation recommendations — in local languages through low-bandwidth channels. CropIn's Gen AI platform Cropin Sage harnesses intelligence from over 1 billion acres of croppable land. Strategic partnerships with Walmart for fresh produce supply chain optimisation, Wipro, BCG, and EIT Food for European regenerative agriculture demonstrate the platform's commercial scalability.
This is an industry case study based on publicly available information. CropIn is not a Pertama Partners client.
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