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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Development Research
Pangestu, Gusti
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Social Sciences

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Journal : Journal of Development Research

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Real-Time Chicken Counting System using YOLO for FCR Optimization in Small and Medium Poultry Farms Pangestu, Gusti
Journal of Development Research Vol. 9 No. 1 (2025): Volume 9, Number 1, May 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v9i1.436

Abstract

Feed Conversion Ratio (FCR) is a widely recognized technique in the animal farming industry, especially for optimizing feed efficiency and reducing the operational costs. A key aspect of managing FCR involves achieving efficiency in the correlation between the number of animals and the required feed quantity. However, to achieve accurately counting large populations of animals, such as chickens, presents a significant challenge especially in large-scale farming. Computer vision technology offers a promising solution to automate this counting process, helping the FCR management. This research specifically evaluates the capability of the YOLOv11 model for real-time chicken detection. Evaluation of the model's performance indicates high efficacy, achieving accuracy, precision, and recall values of 93%, 94%, and 98%, respectively. The implementation of the technology for precise chicken detection facilitates the accurate adjustment and optimization of feed allocation, which can substantially enhance the overall FCR process.
Co-Authors Amadea, Karina Febriantono, M. Aldiki Fitra Abdurrachman Bachtiar Ridho Herasmara