Pseudo-label semi-supervised learning for soybean monitoring

This paper presents a semi-supervised learning method based on superpixels and convolutional neural networks (CNNs) to assign and improve the identification of weeds in soybean crops. Despite its promising results, CNNs require massive amounts of labeled training data to learn, so we intend to impro...

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Bibliographic Details
Published in:Smart Agricultural Technology
Main Authors: Gabriel Kirsten Menezes, Gilberto Astolfi, José Augusto Correa Martins, Everton Castelão Tetila, Adair da Silva Oliveira Junior, Diogo Nunes Gonçalves, José Marcato Junior, Jonathan Andrade Silva, Jonathan Li, Wesley Nunes Gonçalves, Hemerson Pistori
Format: Article
Language:English
Published: Elsevier 2023-08-01
Subjects:
Deep learning
Superpixel
Semi-supervised learning
Soybean
Weeds
Unmanned aerial vehicle
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523000461

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http://www.sciencedirect.com/science/article/pii/S2772375523000461

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