Thailand Sugarcane Production Mapping
Understanding sugarcane production in Thailand requires extensive ground truth data to build accurate satellite-based yield models. Traditional approaches — sending survey teams across a country spanning 500,000 km² — are slow and prohibitively expensive. In 2023, HSAT deployed over 2,000 local data collectors to map more than 3,000 sugarcane fields in under 10 days, providing the foundation for high-accuracy production forecasts at a fraction of the industry's usual cost.
Competitors told clients it would take months to map Thailand's sugarcane fields. We delivered nationwide mapping in 10 days — enabling yield forecasts that outperformed traditional models while costing 93% less.
Data You Can Trade On
CropGPT integrates weather, satellite, pricing, and large-scale ground truth data to deliver crop forecasts with 95–98% accuracy. In Thailand, our combination of rapid local field mapping and AI modelling provided unmatched visibility into sugarcane production. Whether optimising procurement, managing export positions, or planning logistics, our clients gained insight faster, cheaper, and more accurately than any other source.