Fieldbot Information

The race for agronomic intelligence will be won by whoever can continuously generate and aggregate diverse, full-season, high-fidelity proprietary intervention-and-response datasets at the greatest speed and largest scale. More fundamentally, the next frontier of agricultural AI will be built not only on machines that can autonomously act in the field, but also on machines that can enable self-improving agronomic intelligence—continuously learning over time and across space from the biological consequences of their actions. This will require fleets of multifunctional agronomic machine platforms that can (1) autonomously execute and vary a wide range of field-scale agronomic interventions, (2) autonomously capture plant-level observations of real-world biological crop responses across successive time intervals, (3) continuously learn from those responses and inform subsequent agronomic decisions, and (4) recursively compound self-improving agronomic intelligence over entire growing seasons and across distributed machine networks—all while remaining physically resident in the field with the crop. Irrigation pivots are uniquely positioned to form these fleets of new agronomic data and intelligence hubs—establishing a persistent, bidirectional “proprietary data channel” through which farmer-developed knowledge and expertise, agronomic intervention histories, successive plant-level observations of real-world biological crop responses, and increasingly intelligent machine actions are continuously integrated and translated into self-improving agronomic intelligence that compounds over time and across distributed machine networks. Fieldbot has successfully created and patented a universal precision upgrade platform capable of transforming—without replacing existing equipment—the world’s installed base of mixed-fleet, electrically driven irrigation pivots into a distributed network of intelligent, connected autonomous crop platforms.