Open AccessPlant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks
Author(s) -
Deborah Bambil,
Hemerson Pistori,
Francielli Bao,
Vanessa Weber,
Flávio Macêdo Alves,
Eduardo G. Gonçalves,
Lúcio Flávio de Alencar Figueiredo,
U. G. P. de Abreu,
Rafael Arruda,
Ieda Maria Bortolotto
Publication year - 2020
Publication title -
environment systems and decisions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.656
H-Index - 43
eISSN - 2194-5411
pISSN - 2194-5403
DOI - 10.1007/s10669-020-09769-w
Subject(s) - artificial intelligence , random forest , adaboost , support vector machine , computer science , machine learning , plant identification , artificial neural network , identification (biology) , context (archaeology) , deep learning , ensemble learning , software , pattern recognition (psychology) , biology , ecology , paleontology , programming language
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