Integration and Calibration of Multi-Array Sensors for Biomass Estimation in Pasture Land for Sustainable Grazing

Accurate measurement of pasture biomass is important for sustainable management of pasture land. Traditional methods like destructive harvesting are labor-intensive and time-consuming. The recent advances in non-destructive techniques using proximal sensors present significant potential to expedite biomass estimation. Despite recent advancements, there is still a need for an integrated and automated system for comprehensive and realtime biomass estimation. The proposed study presents a novel approach where we integrate various proximal sensors, including ultrasonic, radar, VCSEL, and LiDAR technologies, along with IMU and high-precision GPS for accurate geolocation. Then, we mounted this suite of proximal sensors on the terrain vehicle. Calibration in Lab setup and field validation confirmed the system's potential to improve pasture management by enabling precise and efficient monitoring of the grazing land.