London, UK. July 11th, 2025 – HSAT, a leader in crop intelligence, has announced ground breaking results in cocoa yield forecasting, with accuracy consistently exceeding 95%.
This milestone positions HSAT’s CropGPT platforms as the most advanced solutions available for forecasting cocoa production globally.
Drawing on billions of data points and updated every 30 minutes, HSAT’s AI models integrate satellite imagery, hyper-local weather data, crop surveys, disease detection, and economic indicators across the major cocoa-producing countries – Ivory Coast, Ghana, Ecuador, Nigeria, and Indonesia.
Predictions are validated through independent methods, including on-the-ground verification by HSAT’s global field team of over 2,000 contributors.
HSAT’s cocoa forecasting models are tailored to regional agronomic conditions and adapt in real time. Disease mapping (e.g., CSSV), AI-driven pod counting, and cumulative rainfall analysis are key innovations that allow HSAT to detect yield threats before they impact production – delivering intelligence to traders, insurers, and producers with unmatched lead time and precision.
“Our models aren’t static forecasts, they evolve each week,” said Rob Weston, founder. “We show our accuracy over the past decade, and every model is specific to crop, country, and season. This level of granularity is unique in the market.”
HSAT’s predictions are actively used by major soft commodity traders, food producers, and hedge funds to manage risk and improve strategic planning.
The cocoa insights feed directly into HSAT’s Market Forces system – enabling users to track how rainfall deficits, disease outbreaks, or FX movements impact future yields.
A detailed report on the impact of disease in Ivory Coast and Ghana – two of the world’s largest cocoa producers – is available at https://reports.cropgpt.ai/cocoadisease.
CropGPT’s forecasts are delivered through dashboards, weekly reports, APIs, and alerts – ensuring clients receive the intelligence in the format they need, at the speed they demand.
ENDS