PhenoMobile—a cutting-edge, high-clearance autonomous robotic platform custom-engineered to revolutionize smart agriculture and combat the challenges of rapid climate change. While aerial drones offer a broad overview of agricultural land, the PhenoMobile navigates directly within the crop rows. Equipped with heavy, mud-resilient tires, it delivers unprecedented, ultra-high-resolution data right from the ground level .
To capture an absolute, holistic picture of plant health, the PhenoMobile operates as a driven field robot featuring a specialized payload of three advanced cameras mounted inline:
RGB Imaging: Captures high-fidelity visual data to analyze structural crop traits, tracking physical properties such as leaf distance, floral counts, and overall plant development.
Hyperspectral Sensing: Scans hundreds of light bands beyond human sight, uncovering hidden biochemical indicators, nutrient distribution, and early physiological stress markers.
Thermal Infrared Imaging: Functions as a dynamic temperature canvas across the crop canopy, instantly diagnosing real-time transpiration levels and water stress.
By scanning fields and simultaneously collecting imagery from all three sensor sources, our center deploys advanced Machine Learning and Artificial Neural Networks (ANN) to fuse this data. This powerful cross-referencing allows us to calculate critical advanced vegetation indices—such as the Normalized Difference Vegetation Index (NDVI)—alongside complex thermal-to-morphological maps.
From assessing precise irrigation requirements and predicting soil-nutrient intake to screening climate-resilient crop varieties, the PhenoMobile transforms expansive fields into actionable, data-driven insights. It bridges the gap between raw agricultural biology and scalable artificial intelligence.
The PhenoMobile project is a collaboration between these centers: