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Image and sound processing applied to precision animal management

Grant number:21/07127-2
Support Opportunities:Regular Research Grants
Start date: November 01, 2021
End date: October 31, 2023
Field of knowledge:Agronomical Sciences - Agricultural Engineering - Rural Buildings and Ambience
Principal Investigator:Késia Oliveira da Silva Miranda
Grantee:Késia Oliveira da Silva Miranda
Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
City of the host institution:Piracicaba
Associated researchers:Isabella Cardoso Ferreira da Silva Condotta ; Tami M. Brown-Brandl
Associated research grant(s):22/00647-3 - International exchange for the development of precision livestock farming programming, AP.R SPRINT

Abstract

For decades, farmers have detected issues in animal health and well-being by observing changes in behavior, but this process is time-consuming and requires an in-depth understanding of animal production. To create a more efficient animal monitoring process, researchers have developed new methods using digital images/sound to automatically detect behaviors associated with management issues. Therefore, the goal of this proposal is to determine animal weight, activity level, and incidence of lameness in production animals using time-of-flight depth cameras, which provide distance measurements between objects and the camera at each pixel location, digital image analyze and vocalization. Local processing of information will provide continuous monitoring and documentation of animal well-being. With the end product, producers can detect problems sooner, which may lead to a better understanding of practices or environments that lead to issues. In turn, this will allow producers to make more timely management decisions and potentially forecast and prevent future issues. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications
(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)
MOREIRA, MICHELE DA ROCHA; TRABACHINI, ALDIE; AMORIM, MAGNO DO NASCIMENTO; HARADA, ERIK DOS SANTOS; DA SILVA, MARCELO ANDRADE; SILVA-MIRANDA, KESIA OLIVEIRA DA. The Perception of Brazilian Livestock Regarding the Use of Precision Livestock Farming for Animal Welfare. AGRICULTURE-BASEL, v. 14, n. 8, p. 17-pg., . (21/07127-2)
WEN, TUNG CHIUN; FREIRE, CAROLINE FERREIRA; BENICIO, LUANA MARIA; DE MOURA, GISELLE BORGES; AMORIM, MAGNO DO NASCIMENTO; DA SILVA-MIRANDA, KESIA OLIVEIRA. TinyML-Based Swine Vocalization Pattern Recognition for Enhancing Animal Welfare in Embedded Systems. INVENTIONS, v. 10, n. 4, p. 9-pg., . (21/07127-2, 19/12013-6)