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About

Francesco Marinello is a leading researcher at the intersection of precision agriculture, agricultural robotics, and smart livestock systems. His work focuses on developing autonomous solutions to enhance productivity and sustainability in farming. Marinello’s major contributions include the design of a mixed-autonomous robotic platform for intra-row and inter-row weed removal, a breakthrough that reduces reliance on chemical pesticides and manual labor, with his 2023 paper on this topic accumulating 64 citations. He has also advanced dairy farm management by estimating efficiency in automatic milking systems (20 citations) and by monitoring energy consumption in fully automated dairy farms. Notably, Marinello developed a real-time convolutional neural network-based obstacle classification system for orchard navigation, enabling agricultural robots to distinguish “real” from “fake” obstacles, a critical innovation for autonomous navigation in complex environments. His work on defining reference standards for performance evaluation of autonomous vehicles’ obstacle detection has further solidified his impact. With research spanning robotics, digital technologies, and livestock systems, Marinello’s contributions are shaping the future of smart, efficient, and sustainable agriculture.