Cocoa Production Forecasting & Disease Monitoring
In West Africa — home to over 60% of global cocoa production — accurately forecasting yields is vital for traders, producers, and governments. HSAT combined 200,000+ field-verified pod counts with AI-driven disease detection, satellite NDVI, detailed weather modelling, and additional factors such as climate change trends, smuggling patterns, and historical disease spread. The result: 97% accurate production forecasts, delivered six months before harvest for Ivory Coast, Ghana, and other key producing regions.
While others relied on late-season sampling, our integrated ground, satellite, and AI modelling predicted the crop with near-perfect accuracy — months before official figures were released.
Data You Can Trade On
CropGPT integrates crowdsourced field surveys, AI-powered disease detection (over 90% accuracy for Cocoa Swollen Shoot Virus), automated pod counting (85–90% accuracy), and 20 years of weather and climate data. By factoring in smuggling routes, disease hotspots, and climate variability, we deliver forecasts that consistently outperform market expectations. This capability gives clients the insight to act decisively — whether securing supply, adjusting positions, or mitigating risk — long before the rest of the market.