Artificial neural networks employment in the prediction of evapotranspiration of greenhouse-grown sweet pepper

Artificial neural networks employment in the prediction of evapotranspiration of greenhouse-grown sweet pepper

ABSTRACT This study aimed to investigate the applicability of artificial neural networks (ANNs) in the prediction of evapotranspiration of sweet pepper cultivated in a greenhouse. The used data encompass the second crop cycle, from September 2013 to February 2014, constituting 135 days of daily mete...

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Bibliographic Details
Main Authors: Héliton Pandorfi, Alan C. Bezerra, Roberto T. Atarassi, Frederico M. C. Vieira, José A. D. Barbosa Filho, Cristiane Guiselini
Format: Article
Language:English
Published: Universidade Federal de Campina Grande 2016-06-01
Series:Revista Brasileira de Engenharia Agrícola e Ambiental - Agriambi
Subjects:
microclima
pimentão
sistema especialista
visão computacional
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600507&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600507&lng=en&tlng=en

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