A Recognition Method of Cattle and Sheep Based on Convolutional Neural Network

Author:

Sun Fangyu1,Wang Handong2,Zhang Jiawei3

Affiliation:

1. Southwest University Westa College,Chongqing,China

2. South China Agricultural University,College of Software Engineering,Guangzhou,China

3. China University of Mining and Technology Yinchuan College,Academy of Information Engineering,Yinchuan,China

Publisher

IEEE

Reference12 articles.

1. Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning

2. Research on animal image recognition based on convolutional neural network [J];maojie;Software,2020

3. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning[J];mohammad sadegh;Proceedings of the National Academy of Sciences of the United States of America,2018

4. Vegetable and fruit species recognition method based on convolutional neural network technology [J];qiwei;Computer Age,2018

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1. A Comprehensive Study on the Role of Artificial Intelligence in Animal Husbandry;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

2. Sheep health behavior analysis in machine learning: A short comprehensive survey;Smart Agricultural Technology;2023-12

3. Effects of Data Augmentation Methods on YOLO v5s: Application of Deep Learning with Pytorch for Individual Cattle Identification;Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi;2023-09-30

4. A Deep Learning-based Framework for Sheep Identification System based on Facial Bio-Metrics Analysis;2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2022-11-10

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