Tomato detection based on convolutional neural network for robotic application-Reference-Cited by-同舟云学术

Tomato detection based on convolutional neural network for robotic application

Published:2022-12-21 Issue:2 Volume:46 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Engineering

Author:

Liu Shihui¹²,Zhai Binliang³^ORCID,Zhang Jiantao³^ORCID,Yang Leping³,Wang Jiaze³,Huang Ke¹,Liu Mingyue¹

Affiliation:

1. College of Horticulture Hunan Agricultural University Changsha China

2. Key Laboratory of Quality and Safety Regulating of Horticultural Crop Products, Ministry of Agriculture Shanghai China

3. School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.14239

Reference18 articles.

1. Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice

2. Soft grasping mechanism of human fingers for tomato-picking bionic robots

3. Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology

4. Robotization of Tomato Fruits Production to Enhance Food Security

5. Tomato Recognition for Harvesting Robots Considering Overlapping Leaves and Stems

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