Free usable space estimation in broiler farms using an image segmentation algorithm

Authors

  • Xavier Cortés AGCO Center of Excellence for Smart Livestock Products
  • Heiner Lehr AGCO Center of Excellence for Smart Livestock Products, Vilanova i la Geltrú, Catalonia, Spain
  • Yudong Yan University of Barcelona, Barcelona, Catalonia, Spain

DOI:

https://doi.org/10.21014/actaimeko.v13i2.1631

Keywords:

segmentation, broiler, u-net, deep learning, computer vision, animal welfare, free usable space, stocking density

Abstract

Free usable space in broiler farms has a substantial impact on the welfare and health of the chickens. In this paper we use a computer vision algorithm to estimate free usable space in this kind of farms. This method uses a real-time camera that collects images from the farms and an image processing algorithm based on a U-Net architecture, which estimates the free usable space available. The results of the method are compared with manual labels, and it is shown that the method is accurate and efficient in estimating the free usable space.

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Published

2024-05-31

Issue

Vol. 13 No. 2 (2024)

Section

Research Papers

License

Copyright (c) 2024 Xavier Cortés, Heiner Lehr, Yudong Yan

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