Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pedro H. M. Borges"'
Publikováno v:
Engenharia Agrícola, Vol 38, Iss 6, Pp 844-856 (2018)
ABSTRACT The objective of this study was to develop artificial neural networks (ANNs) for predicting animal thermal comfort based on temperature and relative humidity of the air for each day of the year. The data on temperature and relative humidity
Externí odkaz:
https://doaj.org/article/c37e350671554724869c4338dabe0ea4
Autor:
Pedro H. M. Borges, Zaíra M. S. H. Mendoza, João C. S. Maia, Aloísio Bianchini, Haroldo C. Fernándes
Publikováno v:
Engenharia Agrícola, Vol 37, Iss 1, Pp 136-147 (2017)
ABSTRACT This study aimed to develop artificial neural networks for the estimation of tractor fuel consumption during soil preparation, according to the adopted system. The multilayer perceptron network was chosen. As input data: the soil mechanical
Externí odkaz:
https://doaj.org/article/c92d29a14df941c0b70e13d3c375be3f
Autor:
Pedro H. M. Borges, Aloísio Bianchini, João C. S. Maia, Haroldo C. Fernándes, Zaíra M. S. H. Mendoza
Publikováno v:
Engenharia Agrícola, Vol 34, Iss 2, Pp 273-285 (2014)
Externí odkaz:
https://doaj.org/article/54844e27c8ba450abae90f53dd37ba99
Autor:
Pedro H. M. Borges, Orlando K. Niiyama, Roberto A. Braga Júnior, Carlos E. S. Volpato, Giovanni F. Ravelo, Luciano M. dos Santos
Publikováno v:
Engenharia Agrícola, Vol 24, Iss 3, Pp 704-711 (2004)
O estudo das tensões em colhedoras de forragens é imprescindível, uma vez que as condições de operação são muito variáveis e severas. Utilizou-se um sistema "datalogger" devidamente calibrado para medir as tensões, em função do tempo, num
Externí odkaz:
https://doaj.org/article/f59cf0229c4a4838a2a0b56f6ae3c580