Artificial neural network for prediction of the area under the disease progress curve of tomato late blight

Artificial neural network for prediction of the area under the disease progress curve of tomato late blight

ABSTRACT: Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve problems such as non-linear prediction, and pattern recognition, in addition to several other applications. In this study, ANN...

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Bibliographic Details
Main Authors: Daniel Pedrosa Alves, Rafael Simões Tomaz, Bruno Soares Laurindo, Renata Dias Freitas Laurindo, Fabyano Fonseca e Silva, Cosme Damião Cruz, Carlos Nick, Derly José Henriques da Silva
Format: Article
Language:English
Published: Universidade de São Paulo
Series:Scientia Agricola
Subjects:
Phytophthora infestans
ANN
AUDPC
artificial intelligence
plant breeding
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000100051&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000100051&lng=en&tlng=en

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