Fast recognition method for citrus under complex environments based on improved YOLOv3-Reference-Cited by-同舟云学术

Fast recognition method for citrus under complex environments based on improved YOLOv3

Published:2021-10-30 Issue:2 Volume:2022 Page:148-159
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:The Journal of Engineering

Author:

Xiao Xu¹^ORCID,Huang Jingjing²,Li Ming¹²,Xu Yongwei³,Zhang Hongduo¹,Wen Chaowu²,Dai Sihui⁴

Affiliation:

1. College of mechanical and electrical engineering Hunan Agricultural University Changsha 410128 China

2. Hunan Provincial Research Institute of Agricultural Equipment Changsha 410129 China

3. Center for Spatial Information Science University of Tokyo Kashiwa 277‐8568 Japan

4. College of Horticulture Hunan Agricultural University Changsha 410128 China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/tje2.12097

Reference30 articles.

1. Research advance on vision system of apple picking robot;Dandan W.;Trans. Chin. Soc. Agric. Eng.,2017

2. Research and experiment on recognition and location system for citrus picking robot in natural environment;Changhui Y.;Trans. Chin. Soc. Agr. Mach.,2019

3. A novel green apple segmentation algorithm based on ensemble U-Net under complex orchard environment

4. Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector

5. Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven Bayesian Gaussian mixture optimized anchor box model for accurate and efficient detection of green citrus;Computers and Electronics in Agriculture;2024-10

2. Monocular Pose Estimation Method for Automatic Citrus Harvesting Using Semantic Segmentation and Rotating Target Detection;Foods;2024-07-13

3. A Method of Robot Picking Citrus Based on 3D Detection;IEEE Instrumentation & Measurement Magazine;2024-05

4. Localization of asparagus spears using time-of-flight imaging for robotic harvesting;Industrial Robot: the international journal of robotics research and application;2024-04-08

5. Multi-scale feature adaptive fusion model for real-time detection in complex citrus orchard environments;Computers and Electronics in Agriculture;2024-04