J. Hemming

Wageningen University & Research

Papers

40

Total Citations

3,450

H-Index

20

About

J. Hemming is a pioneering researcher in agricultural robotics, with a career dedicated to advancing autonomous systems for harvesting high-value crops in complex greenhouse environments. Working at the intersection of robotics, computer vision, and precision agriculture, Hemming has made foundational contributions to one of horticulture's most technically demanding challenges: replacing human labor with intelligent machines capable of operating in dense, unstructured plant environments. Hemming's most celebrated work includes an early autonomous cucumber harvesting robot (2002, 412 citations) that helped define the field, and the landmark SWEEPER project — a fully integrated sweet pepper harvesting robot validated in commercial greenhouses (2020, 432 citations). His sweeping 2014 review of harvesting robots (643 citations) remains the definitive reference for researchers entering the field, systematically characterizing crop environments and quantifying system performance across dozens of platforms worldwide. Beyond hardware, Hemming has advanced the underlying perception technologies essential to agricultural robotics, including semantic segmentation datasets for Capsicum annuum, pixel-based obstacle classification, and eye-in-hand servo control frameworks. His 2021 selective harvesting review (215 citations) further cements his role as a thought leader shaping future research directions. With over 2,700 citations collectively, his body of work stands as essential reading for anyone serious about robotics in agriculture.

Research Focus

Key Achievements

20
H-Index
40
Papers
3,450
Total Citations
86
Avg Citations/Paper
🏆 Most Cited Paper
Harvesting Robots for High‐value Crops: State‐of‐the‐art Review and Challenges Ahead
643 citations · 2014
📈 Most Prolific Year: 2014 (6 Papers)
🤝 Key Collaborators: 107
🏛 Institutions: Wageningen University & Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago