Papers

20

Total Citations

767

H-Index

12

About

Ola Ringdahl is a leading researcher in agricultural and forestry robotics, whose work spans autonomous navigation, robotic harvesting, and precision agriculture. Based at the intersection of computer vision and robotics, Ringdahl has made foundational contributions to some of the most challenging problems in automating food production and forest management. His most celebrated achievement is the development of SWEEPER, a sweet pepper harvesting robot for greenhouse environments, which has garnered an impressive 432 citations and stands as a landmark demonstration of end-to-end robotic harvesting in real agricultural settings. This work incorporated a six-degree-of-freedom robotic arm, RGB-D sensing, and sophisticated visual servoing — techniques Ringdahl also advanced through complementary research on adaptive image thresholding and optimized fruit approach strategies. Beyond greenhouse robotics, Ringdahl contributed to the EU-funded CROPS project, developing intelligent robots for selective harvesting of fruits and precision spraying in orchards and vineyards. His earlier work on autonomous forest machines and path-tracking algorithms — including the "Follow the Past" method — established robust frameworks for unmanned vehicle navigation. His reusable software framework for agricultural and forestry robots further reflects his commitment to scalable, practical solutions that accelerate the field broadly.

Research Focus

Key Achievements

12
H-Index
20
Papers
767
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Development of a sweet pepper harvesting robot
432 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Umeå University, Swedish University of Agricultural Sciences

Top Papers

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    CROPS: Clever Robots for Crops
    25 citations · 2015
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago