The future of agriculture will increasingly rely on high-precision technology, such as robots, drones, satellites and sensors. This transition requires farmers to adopt new capabilities that can help them monitor plants with centimeter accuracy, process data with high definition, and generate real-time plant-level information. Artificial vision sensors with cameras based on Artificial Intelligence (AI) are emerging technology that will significantly increase the possibilities of digitalization at the plant level.

AI-based tractor-mounted cameras offer farmers an easy-to-install camera system that detects the state of plants (nutrients, pests, diseases...) and applies inputs accurately. This technology supports sustainable agriculture by reducing the use of chemicals (mineral fertilizers and plant protection products) and increasing operational accuracy through edge computing and satellite integration.

The camera sensor that is installed above the tractor cab analyzes the state of the plants, the presence of weeds and the biomass in real time using AI, which allows a very precise application of fertilizers and plant protection products. The system processes the data directly on the device, without dependence on the cloud, which allows the settings to be immediately varied in the machines that distribute the inputs (hydraulic sprayers, centrifugal fertilizer spreaders) during field operations, allowing variable dose applications (ADV) to be carried out. By combining satellite imagery from Sentinel-2 with ground-level imagery, the proposed system creates dynamic prescription maps for more effective crop management strategies.