IDENTIFICATION OF NAVEL ORANGE LESIONS BY NONLINEAR DEEP LEARNING ALGORITHM
ABSTRACT It is difficult for humans to recognize recessive diseases in navel oranges. Therefore, deep neural networks are applied to plant disease identification. To improve the feature extraction ability of convolutional neural networks, the Parameter Exponential Nonlinear Activation Unit (PENLU) i...
| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Sociedade Brasileira de Engenharia Agrícola
2018-09-01
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| Colecção: | Engenharia Agrícola |
| Assuntos: | |
| Acesso em linha: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500783&tlng=en |