Development and performance evaluation of a machine vision system and an integrated prototype for automated green shoot thinning in vineyards-Reference-Cited by-同舟云学术

Development and performance evaluation of a machine vision system and an integrated prototype for automated green shoot thinning in vineyards

Published:2021-01-07 Issue:6 Volume:38 Page:898-916
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J Field Robotics

Author:

Majeed Yaqoob¹²³^ORCID,Karkee Manoj¹²,Zhang Qin¹²,Fu Longsheng¹⁴^ORCID,Whiting Matthew D.¹⁵

Affiliation:

1. Center for Precision and Automated Agricultural Systems Washington State University Prosser Washington USA

2. Department of Biological Systems Engineering Washington State University Prosser Washington USA

3. Department of Food Engineering University of Agriculture Faisalabad Pakistan

4. College of Mechanical and Electronic Engineering Northwest A&F University Yangling China

5. Department of Horticulture Washington State University Prosser Washington USA

Funder

Washington State Department of Agriculture

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22013

Reference74 articles.

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3. Amara J. Bouaziz B. &Algergawy A.(2017). A deep learning‐based approach for banana leaf diseases classification. In BTW (Workshops) (pp. 79–88).

4. Effect of shoot and cluster thinning on vine performance, fruit and wine quality of ʻBlanc Du Boisʼ;Ames Z. R.;Journal of the American Pomological Society,2016

5. Harvesting Robots for High-value Crops: State-of-the-art Review and Challenges Ahead

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