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About

Luca Corelli Grappadelli is a leading researcher at the intersection of horticulture and precision agriculture, whose work bridges the gap between plant physiology and cutting-edge computer vision. His primary research areas include fruit tree physiology, orchard training systems, and the development of real-time, robotic-ready detection systems for specialty crops. Corelli Grappadelli’s most significant contribution is pioneering the application of deep learning for in-field fruit detection, most notably through his highly cited 2019 work on "Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree" (165 citations). This research demonstrated that modern deep-learning architectures could dramatically outperform traditional, computationally intensive algorithms, enabling real-time, high-accuracy fruit detection on standard hardware—a critical step toward practical agricultural robotics. He has further advanced the field by systematically investigating how 2D tree training systems can be optimized to improve computer vision performance in orchards, as shown in his 2021 case study. Through his work, Corelli Grappadelli has provided both the biological understanding of fruit growth and the technological framework necessary for the next generation of automated, precision horticulture.