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Real-time disease detection and yield modelling for cocoa with polarised and IR imaging Onboard AI provides actionable insights with environmental data and enhanced post-processing
About
HiveSight will transform the cocoa industry by delivering real-time, per-tree disease diagnosis and yield estimation using polarised and IR light with onboard AI.
Cocoa farmers face devastating crop losses from disease and yield variability, costing livelihoods and destabilising supply chains. HiveSight directly tackles this by providing precise, repeatable insights in the field, enabling better farming decisions, optimised resource use, and full digital traceability for buyers and certification schemes. Our system has already proven itself in challenging tropical field environments, working seamlessly with minimal infrastructure and providing reliable, spreadsheet-friendly outputs. Backed by trials with Nestlé, NIAB and INIAP, HiveSight is poised to bring unprecedented transparency and actionable data to the heart of cocoa farming.
Key Benefits
Rapid, tree-level measurements: precisely scores disease severity, yield potential, and variance in the field.
Actionable data for trials and farms: see data via our online dashboard and output in csv format via an AIP for easy integration and decision-making.
Proven in cocoa and scalable: validated in Ecuadorian cocoa trials, with direct application to on-farm use. Currently deployed via a handheld unit for challenging terrain, but could be mounted easily to an autonomous robot or ATV.
Field-ready design: portable and intuitive for field technicians - no internet, major infrastructure or complex setup required
Environmental metadata included: future-ready for correlating traits with growing conditions with onboard humidity/temp sensors, GPS and inertial measurement unit, and with scope to upgrade.
Applications
HiveSight is designed for cocoa farmers, procurement agents, breeders, agronomists, and sustainability managers working in field trials or on commercial farms. It meets the needs of companies like Mondelez by enabling real-time, high-throughput data collection that supports phytosanitation, buying/trading, breeding programs, national disease management, and yield forecasting. It’s also ideal for cooperatives, certification schemes, and supply chain stakeholders who need robust, scalable measurement and verification in outdoor environments.