G. Perotto

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About

G. Perotto’s research focuses on agricultural robotics and multi-sensor inspection systems, with a particular emphasis on automating post-harvest fruit handling. Their major contribution lies in advancing the integration of sensing technologies—such as weight, size, color, and firmness measurement—into robotic packing processes. Perotto was instrumental in the European ESPRIT project 9230, “SHIVA,” which aimed to develop a fully automated robotic system capable of performing all packinghouse operations, from inspection to packing. This work addressed critical challenges in fresh fruit grading, where traditional lines relied on limited sensor inputs. While their most-cited paper, “Multi-sensor inspection and robotic packing of fruit” (1998), has garnered 2 citations, its impact is reflected in the foundational role it played in shaping subsequent research on intelligent agricultural automation. Perotto’s achievements highlight a forward-thinking approach to merging robotics with precision agriculture, offering practical solutions for reducing labor costs and improving fruit quality assessment. Their work remains a reference point for researchers exploring sensor fusion and robotic manipulation in perishable food handling.