Modeling of a Hardware and Software System for Non-Invasive Monitoring of the Feeding Behavior of Farm Animals

Ivashchuk O. Kenzhebayeva Z. Zhigalov A. Allaniyazova M. Kaziyeva G. Makulov K. Fedorov V. Ivashchuk O.
February 2026 Multidisciplinary Digital Publishing Institute (MDPI)

Technologies
2026 #14 Issue 2

This paper presents the design of a hardware–software system for non-invasive automated monitoring of feeding behavior in livestock with biometric identification of individual animals. Neural network models for animal identification from images and individual recognition have been developed and trained. A solution is proposed to address the challenge of acquiring a sufficient number of personalized animal images for training the identification neural network. A transfer learning approach is introduced for pig identification, where the network is first trained on a large-scale dataset of more than three million human face images obtained from open sources and subsequently fine-tuned by training the upper layers on a significantly smaller dataset consisting of 5610 pig face images. Experimental results demonstrated the high effectiveness of the system: the Top-1 identification accuracy reached 95.1%, while the ROC AUC in open-set recognition tasks achieved 0.95. The processing time per frame on an NVIDIA RTX 4090 GPU was 1.4 ms (724 FPS).

animal recognition , automation of animal monitoring , detection , face recognition , internet of things , neural network , pig identification , smart feeder

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Department of Computer Science, Faculty of Science and Technology, Caspian University of Technology and Engineering (KUTI) Named After Sh. Yessenov, Microdistrict 32, Aktau, 130000, Kazakhstan
Individual Entrepreneur Zhigalov A.A. (neural.dev), Agmashenebeli Str., 1, Batumi, 6004, Georgia
Department of Information and Robotic Systems, Belgorod State National Research University, 85, Pobedy St., Belgorod, 308015, Russian Federation

Department of Computer Science
Individual Entrepreneur Zhigalov A.A. (neural.dev)
Department of Information and Robotic Systems

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026