Detection of abnormal chicken droppings based on improved Faster R-CNN-Reference-Cited by-同舟云学术

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Detection of abnormal chicken droppings based on improved Faster R-CNN

Published:2023 Issue:1 Volume:16 Page:243-249
ISSN:1934-6344
Container-title:International Journal of Agricultural and Biological Engineering
language:en
Short-container-title:

Author:

Zhou Min, ,Zhu Junhui,Cui Zhihang,Wang Hongying,Sun Xianqiu,

Publisher

International Journal of Agricultural and Biological Engineering (IJABE)

Subject

General Engineering,General Agricultural and Biological Sciences

Cited by 4 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. Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review;Computers and Electronics in Agriculture;2024-10

2. An efficient segmentation model for abnormal chicken droppings recognition based on improved deep dual-resolution network;Journal of Animal Science;2024-01-01

3. Surveillance to Detect and Classifying of Chicken Poultry Diseases from Fecal Images Using CNN;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

4. Detection of Chicken Diseases from Fecal Images with the Pre-Trained Places365-GoogLeNet Model;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

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