Research note: Application of convolutional neural networks for feather classification in chickens
Feather color plays a crucial role in distinguishing various poultry breeds. However, the reliability of conventional manual classification methods is debated due to the intricate nature of feather color traits. To address this issue, we applied Convolutional Neural Networks (CNN) to extract the fea...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-11-01
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| Series: | Poultry Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0032579125004961 |
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| author | Jiajia Niu Tong Li Kunlong Qi Yang Liu Haixuan Deng Yujia Hu Dan Xu Liuting Wu Felix Kwame Amevor Yingjie Wang Gang Shu Xiaoling Zhao |
| author_facet | Jiajia Niu Tong Li Kunlong Qi Yang Liu Haixuan Deng Yujia Hu Dan Xu Liuting Wu Felix Kwame Amevor Yingjie Wang Gang Shu Xiaoling Zhao |
| author_sort | Jiajia Niu |
| collection | DOAJ |
| description | Feather color plays a crucial role in distinguishing various poultry breeds. However, the reliability of conventional manual classification methods is debated due to the intricate nature of feather color traits. To address this issue, we applied Convolutional Neural Networks (CNN) to extract the feather texture features of 300 images each of Golden Meihua (GM) and Silver Meihua (SM) feathers. The nonlinear features were then learned through an MLP layer and activation functions to complete the classification of GM and SM. Finally, we successfully developed a method automating the identification of feather texture features, achieving a recognition model accuracy of 93.71 % after 5-fold cross-validation. This research improves the precision and effectiveness of feather color selection, offering valuable insights into the systematic classification of feather colors in diverse poultry species. |
| format | Article |
| id | doaj-art-ae85f326564f4ece96c270bf1c8a7021 |
| institution | Kabale University |
| issn | 0032-5791 |
| language | English |
| publishDate | 2025-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Poultry Science |
| spelling | doaj-art-ae85f326564f4ece96c270bf1c8a70212025-08-20T04:01:02ZengElsevierPoultry Science0032-57912025-11-011041110525410.1016/j.psj.2025.105254Research note: Application of convolutional neural networks for feather classification in chickensJiajia Niu0Tong Li1Kunlong Qi2Yang Liu3Haixuan Deng4Yujia Hu5Dan Xu6Liuting Wu7Felix Kwame Amevor8Yingjie Wang9Gang Shu10Xiaoling Zhao11State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR ChinaDepartment of Basic Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan 611130, PR ChinaState Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Correspondence author: Xiaoling Zhao, Key Laboratory of Livestock and Poultry Multi-omics, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China, Zipcode: 611134.Feather color plays a crucial role in distinguishing various poultry breeds. However, the reliability of conventional manual classification methods is debated due to the intricate nature of feather color traits. To address this issue, we applied Convolutional Neural Networks (CNN) to extract the feather texture features of 300 images each of Golden Meihua (GM) and Silver Meihua (SM) feathers. The nonlinear features were then learned through an MLP layer and activation functions to complete the classification of GM and SM. Finally, we successfully developed a method automating the identification of feather texture features, achieving a recognition model accuracy of 93.71 % after 5-fold cross-validation. This research improves the precision and effectiveness of feather color selection, offering valuable insights into the systematic classification of feather colors in diverse poultry species.http://www.sciencedirect.com/science/article/pii/S0032579125004961Feather colorConvolutional Neural Networkchickenbreedingclassification |
| spellingShingle | Jiajia Niu Tong Li Kunlong Qi Yang Liu Haixuan Deng Yujia Hu Dan Xu Liuting Wu Felix Kwame Amevor Yingjie Wang Gang Shu Xiaoling Zhao Research note: Application of convolutional neural networks for feather classification in chickens Poultry Science Feather color Convolutional Neural Network chicken breeding classification |
| title | Research note: Application of convolutional neural networks for feather classification in chickens |
| title_full | Research note: Application of convolutional neural networks for feather classification in chickens |
| title_fullStr | Research note: Application of convolutional neural networks for feather classification in chickens |
| title_full_unstemmed | Research note: Application of convolutional neural networks for feather classification in chickens |
| title_short | Research note: Application of convolutional neural networks for feather classification in chickens |
| title_sort | research note application of convolutional neural networks for feather classification in chickens |
| topic | Feather color Convolutional Neural Network chicken breeding classification |
| url | http://www.sciencedirect.com/science/article/pii/S0032579125004961 |
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