Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sebastião Lucas Neves de Melo"'
Autor:
Diego André Sant’Ana, Marcio Carneiro Brito Pache, José Martins, Wellington Pereira Soares, Sebastião Lucas Neves de Melo, Vanir Garcia, Vanessa Aparecida de Moares Weber, Natália da Silva Heimbach, Rodrigo Gonçalves Mateus, Hemerson Pistori
Publikováno v:
Machine Learning with Applications, Vol 5, Iss , Pp 100076- (2021)
This research arose from the need to aggregate computer vision technology and machine learning in sheep weight control and facilitate the weighing process of animals in farms. The experiment was conducted to collect the images of the animals and thei
Externí odkaz:
https://doaj.org/article/64be9463ff604505be544be468217313
Autor:
Vanessa Aparecida de Moares Weber, Natália da Silva Heimbach, Jose Martins, Marcio Carneiro Brito Pache, Hemerson Pistori, Vanir Garcia, Rodrigo Gonçalves Mateus, Wellington Pereira Soares, Diego André Sant’Ana, Sebastião Lucas Neves de Melo
Publikováno v:
Machine Learning with Applications, Vol 5, Iss, Pp 100076-(2021)
This research arose from the need to aggregate computer vision technology and machine learning in sheep weight control and facilitate the weighing process of animals in farms. The experiment was conducted to collect the images of the animals and thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab5e980f815b192008fbd0391367af22
http://www.sciencedirect.com/science/article/pii/S2666827021000384
http://www.sciencedirect.com/science/article/pii/S2666827021000384
Autor:
Diego André Sant'Ana, Marcio Carneiro Brito Pache, José Martins, Gilberto Astolfi, Wellington Pereira Soares, Sebastião Lucas Neves de Melo, Natália da Silva Heimbach, Vanessa Aparecida de Moraes Weber, Rodrigo Gonçalves Mateus, Hemerson Pistori
Publikováno v:
Ecological Informatics. 68:101551
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50be47d8c2773aad7f328ccd615bda72
https://doi.org/10.1016/j.ecoinf.2021.101551
https://doi.org/10.1016/j.ecoinf.2021.101551