Sheep

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Sheep Monitoring

This project is carried out with the collaboration of the Group in Product and Project Management (Universidad de Zaragoza). The collaboration is based on the use of computer vision techniques to help the production of Rasa-aragonesa sheep breed.


Papers:

Riego del Castillo, V., Sánchez-González, L., Campazas-Vega, A., & Strisciuglio, N. (2022). Vision-based module for herding with a sheepdog robot. Sensors, 22(14), 5321.

Samperio, E., Lidón, I., Rebollar, R., Castejón-Limas, M., & Álvarez-Aparicio, C. (2021). Lambs’ live weight estimation using 3D images. Animal, 15(5), 100212.

Congresos:

Riego del Castillo, V., García Sierra, J. F., & Sánchez-González, L. (2023, August). Adapting YOLOv8 as a Vision-Based Animal Detection System to Facilitate Herding. In International Conference on Hybrid Artificial Intelligence Systems (pp. 603-610). Cham: Springer Nature Switzerland.

Riego del Castillo, V., Sánchez-González, L., Fernández-Robles, L., Castejón-Limas, M., & Rebollar, R. (2022, September). Estimation of Lamb Weight Using Transfer Learning and Regression. In International Workshop on Soft Computing Models in Industrial and Environmental Applications (pp. 23-30). Cham: Springer Nature Switzerland.


Repositorios y Software:

VISORED: a Vision-based module for herding with a Sheepdog Robot

GitHub Repositorio VISORED

On the news

De la romana a la 3D (Diario de León)

Las ovejas se pesan sin báscula (Norte de Castilla)

Image Analysis

Lambscan-1.pdf.png