Intelligent Robotic System for Digital Agriculture

GreenBotics project aims to make a significant step in Precision Agriculture by integrating sensing, field robotics, probabilistic machine learning and agriculture-science to develop a new soil-moisture monitoring system for crop plantations (namely Maize). The system is called Maize and Moisture Monitoring System (M3Sys). Based upon anovel multimodal spatio-temporal probabilistic inference framework, M3Sys will incorporate fundamental and applied techniques from machine learning, field robotics, drone andsatellite sensing, probability and sensor-fusion. Concisely, GreenBotics has the goal of increasing the precision and reliability of early anomalies detection and monitoring of Maize plantations by combining robotics, datasensor, ML, and agriculture expertise, both experimental and computational .