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Título
A non-stressful vision-based method for weighing live lambs
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Logic Journal of the IGPL
Cita Bibliográfica
Riego del Castillo, V., Sánchez-González, L., Fernández, L., Castejón, M., Rebollar, R. and Samperio, E., (2024). A non-stressful vision-based method for weighing live lambs. Logic Journal of the IGPL,https://doi.org/10.1093/jigpal/jzae059
Editorial
Oxford University Press
Fecha
2024-05-20
ISSN
1367-0751
Resumen
[EN] Accurate measurement of livestock weight is a primary indicator in the meat industry to increase the economic gain. In lambs, the weight of a live animal is still usually estimated manually using traditional scales, resulting in a tedious process for the experienced assessor and stressful for the animal. In this paper, we propose a solution to this problem using computer vision techniques; thus, the proposed procedure estimates the weight of a lamb by analysing its zenithal image without interacting with the animal, which speeds up the process and reduces weighing costs. It is based on a data-driven decision support system that uses RGB-D machine vision techniques and regression models. Unlike existing methods, it does not require walk-over-weighing platforms or special and expensive infrastructures. The proposed method includes a decision support system that automatically rejects those images that are not appropriate to estimate the lamb weight. After determining the body contour of the lamb, we compute several features that feed different regression models. Best results were achieved with Extra Tree Regression (R2=91.94%), outperforming the existing techniques. Using only an image, the proposed approach can identify with a minimum error the optimal weight of a lamb to be slaughtered, so as to maximise the economic profit.
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Palabras clave
Peer review
SI
ID proyecto
- Grant TED2021-132356B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the ``European Union NextGenerationEU/PRTR''. This research was funded by the Aragonese government and the ``Asociación Nacional de Criadores de Ganado Ovino de Raza Rasa Aragonesa (ANGRA)'' through the "Programa de Desarrollo Rural de Aragón para el periodo 2014-2020 (GCP2017 - 2700)''.
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