Reliable use of smart cameras for monitoring biometric parameters in buffalo precision livestock farming

Authors

  • Roberta Matera Dept. of Veterinary Medicine and Animal Productions Federico II University Naples, Italy
  • Leopoldo Angrisani Department of Electrical Engineering and Information Technology Center for Advanced Metrological Systems (CeSMA) Federico II University Naples, Italy
  • Gianluca Neglia Dept. of Veterinary Medicine and Animal Productions Federico II University Naples, Italy
  • Angela Salzano Dept. of Veterinary Medicine and Animal Productions Federico II University Naples, Italy
  • Francesco Bonavolontà Department of Electrical Engineering and Information Technology Center for Advanced Metrological Systems (CeSMA) Federico II University Naples, Italy
  • Maria Teresa Verde Department of Electrical Engineering and Information Technology Center for Advanced Metrological Systems (CeSMA) Federico II University Naples, Italy
  • Nadia Piscopo Dept. of Veterinary Medicine and Animal Productions Federico II University Naples, Italy
  • Domenico Vistocco Dept. of Political Sciences, Communications and International Relationships Federico II University Naples, Italy
  • Oscar Tamburis Institute of Biostructures and Bioimaging, National Research Council of Italy, Naples, Italy https://orcid.org/0000-0002-0130-7915

DOI:

https://doi.org/10.21014/actaimeko.v12i4.1638

Keywords:

Public Health Informatics, Precision Livestock Farming, Mediterranean buffalo, Smart cameras, 3D/2D image analysis

Abstract

Precision Livestock Farming, as a specific sub-sector of Public Health Informatics, focuses on the application of process engineering principles and techniques to achieve an automatic monitoring, modelling, and management of animal productions. In the present work a timely "protocol" is proposed for unobtrusive direct/indirect monitoring of biometric parameters for the estimation of body conditions on Mediterranean Buffalo populations, using low-cost automated systems already present on the market i.e., smart cameras endowed with depth perception capabilities.

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Published

2023-12-12

Issue

Vol. 12 No. 4 (2023)

Section

Research Papers

License

Copyright (c) 2023 Roberta Matera, Leopoldo Angrisani, Gianluca Neglia, Angela Salzano, Francesco Bonavolontà, Maria Teresa Verde, Nadia Piscopo, Domenico Vistocco, Oscar Tamburis

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