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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Campina Grande
2016-06-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000600507&lng=en&tlng=en |
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