A Method for Determining Optimal Leaf Picking Amount of Litchi Based on YOLOv7-Reference-Cited by-同舟云学术

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A Method for Determining Optimal Leaf Picking Amount of Litchi Based on YOLOv7

Published:2023-09-22 Issue: Volume:97 Page:51-56
ISSN:
Container-title:2023 International Conference on Machine Vision, Image Processing and Imaging Technology (MVIPIT)
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Author:

Xiong Juntao¹,Hong Dan¹,Zheng Zhenhui²,Feng Jinyu¹,Chen Weixian³,Huang Kaihan³,Wu Zexuan¹,Li Zhijie³,Wang Jing⁴,Rong Wei³

Affiliation:

1. South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China

2. Institute of Agricultural Machinery,Chinese Academy of Tropical Agricultural Sciences,Zhanjiang,China

3. South China Agricultural University,College of Engineering,Guangzhou,China

4. Institute of Fruit Tree Research,Guangdong Academy of Agricultural Sciences,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10578343/10578349/10578384.pdf?arnumber=10578384

Reference23 articles.

1. Pattern Analysis, Statistical Modelling and Computational Learning 2004-2008;Bentley,2008

2. The relationship between Precision-Recall and ROC curves

3. An Autonomous Robot for De-leafing Cucumber Plants grown in a High-wire Cultivation System

4. Densely connected convolutional net-works;Huang

5. Yolox: Exceeding yolo series in 2021[J];Ge;arXiv preprint

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