Cited By
View all- Mahato SNeethirajan S(2024)Integrating Artificial Intelligence in dairy farm management − biometric facial recognition for cowsInformation Processing in Agriculture10.1016/j.inpa.2024.10.001Online publication date: Oct-2024
Cattle AutoID: Biometric for Cattle Identification: Cattle AutoID
Authors: 
Worapan Kusakunniran, Kunthorn Phongluelert, Chanathip Sirisangpaival, Osh Narayan, Kittikhun Thongkanchorn, Anuwat WiratsudakulAuthors Info & Claims
Pages 570 - 574
Abstract
Existing solutions of animal identification (i.e., cattle in this research project) are based on RFID, ear tag, and microchip. However, they are facing with difficulties of high cost, dislodged and lost, and harm to human operators and animals. Therefore, this paper proposes a biometric based solution of cattle identification using cattle's face images. The proposed method is developed using a convolutional neural network (CNN) for both main steps of face localization and face recognition. The face localization model is trained using a Single-Shot Detector (SSD) architecture, where the face recognition model is trained based on FaceNet. The proposed method is validated using our dataset containing 2,432 cattle images from 152 different cattle. It achieves 94.74% and 83.45% for subject-based and image-based accuracies respectively.
References
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Index Terms
- Cattle AutoID: Biometric for Cattle Identification: Cattle AutoID
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October 2023
722 pages
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Published: 27 December 2023
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- True Corporation Public Company Limited
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SIET 2023
SIET 2023: International Conference on Sustainable Information Engineering and Technology
October 24 - 25, 2023
Badung, Bali, Indonesia
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View all- Mahato SNeethirajan S(2024)Integrating Artificial Intelligence in dairy farm management − biometric facial recognition for cowsInformation Processing in Agriculture10.1016/j.inpa.2024.10.001Online publication date: Oct-2024
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