A smartphone APP for weather-based irrigation scheduling using artificial neural networks

A smartphone APP for weather-based irrigation scheduling using artificial neural networks

Abstract: The objective of this work was to develop a smartphone application (APP) for a weather-based irrigation scheduling using artificial neural networks (ANNs), as well as to validate it in a green corn (Zea mays) crop. An APP (IrriMobile) that uses ANNs based on temperature and relative humidi...

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Bibliographic Details
Main Authors: Lucas Borges Ferreira, Fernando França da Cunha, Rubens Alves de Oliveira, Thiago Ferreira Rodrigues
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2020-08-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Zea mays
artificial intelligence
evapotranspiration
machine learning
smart irrigation
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000100801&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000100801&tlng=en

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