Agririgo launches AI platform for farm operations and crop traceability

Summary

Agririgo is presenting an agricultural intelligence platform for commercial farms in Zambia, South Africa and other African markets. Its core is a digital twin that represents fields, tunnels, pumps, solar equipment, sensors, vehicles, herds and stores as connected objects with current state and historical records. Rigo AI reads those relationships and returns ranked actions with supporting evidence; the demonstration farm, for example, flags irrigation, tunnel ventilation and a solar-output issue. The company says the system runs on the farm’s own machine with consent and is built on open models and open data, including Sentinel-2, SoilGrids and Open-Meteo. Agririgo also offers Rigo Studio, an on-device computer-vision tool that can estimate areas and plant density from drone or phone images, export COCO training data and help users train detectors for compatible aircraft. Its RigoTrace product links field observations to QR-based crop passports containing origin, inputs, quality tests and chain-of-custody records. The site positions those records as support for EU deforestation due-diligence and US food-traceability requirements, while stating that Agririgo does not file compliance documents or replace legal advice. The workflow is designed to accommodate drones, phones and human inspection, including settings with limited connectivity. Rigo Studio is offered as a free Mac, Windows and browser download, while full farm deployments can be customized.