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pro vyhledávání: '"Koenigkan, Luciano V."'
Autor:
Santos, Thiago T., de Souza, Kleber X. S., Neto, João Camargo, Koenigkan, Luciano V., Moreira, Alécio S., Ternes, Sônia
Traditionally, sweet orange crop forecasting has involved manually counting fruits from numerous trees, which is a labor-intensive process. Automatic systems for fruit counting, based on proximal imaging, computer vision, and machine learning, have b
Externí odkaz:
http://arxiv.org/abs/2312.16724
Eddy covariance fluxes of greenhouse gasses observed in a renewed pasture in the southeast of Brazil
Autor:
Cabral, Osvaldo M.R., de Freitas, Helber C., Cuadra, Santiago V., Nogueira, Sandra F., Koenigkan, Luciano V., Ligo, Marcos A.V., de Andrade, Cristiano A., Gash, John H., da Rocha, Humberto R., Rossi, Paulo
Publikováno v:
In Agricultural and Forest Meteorology 15 September 2024 356
Autor:
Santos, Thiago T., de Souza, Kleber X.S., Camargo Neto, João, Koenigkan, Luciano V., Moreira, Alécio S., Ternes, Sônia
Publikováno v:
In Computers and Electronics in Agriculture September 2024 224
Publikováno v:
Pesquisa Veterinária Brasileira, Volume: 34, Issue: 2, Pages: 129-133, Published: FEB 2014
Avian pathogenic Escherichia coli (APEC) infections are responsible for significant losses in the poultry industry worldwide. A zoonotic risk has been attributed to APEC strains because they present similarities to extraintestinal pathogenic E. coli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______608::1f0f31ac85fd90e03e5eb5aea60c9073
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2014000200006&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2014000200006&lng=en&tlng=en
Publikováno v:
2016 IEEE Tenth International Conference on Semantic Computing (ICSC); 2016, p425-428, 4p
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