Matthew D. Whiting
Papers
15
Total Citations
380
H-Index
9
About
Matthew D. Whiting is a leading researcher in precision horticulture and agricultural robotics, whose work centers on automating critical orchard operations to address labor shortages and improve sustainability. His major contributions lie at the intersection of computer vision and robotics, where he has pioneered deep learning-based systems for fruit tree management. Notably, his 2020 paper on segmentation for automated apple tree training has garnered 146 citations, reflecting its foundational impact. Whiting’s research spans automated green shoot thinning in vineyards, robotic cherry harvesting via branch shaking, and precision pollination of apples—a visionary response to pollinator decline. His integrated approach to semiautonomous pruning of upright fruiting offshoot systems (2023) and development of an autonomous pruning robot (2022) demonstrate a commitment to solving complex, real-world agricultural challenges. With over 350 total citations across his most-cited works, Whiting’s innovations in machine vision, robotic perception, and solid set canopy delivery systems are shaping the future of sustainable, high-yield fruit production, making him a pivotal figure in modern agricultural technology.
Research Focus
Key Achievements
Top Papers
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- 6A vision-based robotic system for precision pollination of apples14 citations · 2025
- 7An autonomous robot for pruning modern, planar fruit trees12 citations · 2022
- 8Robotic Pollination of Apples in Commercial Orchards10 citations · 2023
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