Vision-Based Vineyard Navigation Solution with Automatic Annotation-Reference-Cited by-同舟云学术

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Vision-Based Vineyard Navigation Solution with Automatic Annotation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Liu Ertai¹,Monica Josephine²,Gold Kaitlin³,Cadle-Davidson Lance⁴,Combs David³,Jiang Yu¹

Affiliation:

1. Horticulture Section, SIPS, Cornell AgriTech,Geneva,NY,USA,14456

2. Sibley School of Mechanical and Aerospace Engineering, Cornell University,Ithaca,NY,USA,14850

3. PPPMB Section, SIPS, Cornell AgriTech,Geneva,NY,USA,14456

4. USDA ARS Grape Genetics Research Unit,Geneva,NY,USA,14456

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341261.pdf?arnumber=10341261

Reference27 articles.

1. A Fully Autonomous Robot for Putting Posts for Trellising Vineyard with Centimetric Accuracy

2. A Robot System for Pruning Grape Vines

3. A vision methodology for harvesting robot to detect cutting points on peduncles of double overlapping grape clusters in a vineyard

4. Near Real-Time Vineyard Downy Mildew Detection and Severity Estimation

5. Vine-yard yeld estimation by vinbot robot-preliminary results with the white variety viosinho;Lopes

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1. Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation;Precision Agriculture;2024-06-11

2. Impact of novel methods and research approaches in plant pathology: Are individual advances sufficient to meet the wider challenges of disease management?;Plant Pathology;2024-05-29

3. WiCHORD+: A Scalable, Sustainable, and P2P Chord-Based Ecosystem for Smart Agriculture Applications;Sensors;2023-11-28

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