J
Joao Camargo Neto
Researcher at Empresa Brasileira de Pesquisa Agropecuária
Publications - 14
Citations - 1344
Joao Camargo Neto is an academic researcher from Empresa Brasileira de Pesquisa Agropecuária. The author has contributed to research in topics: Crossover & Image segmentation. The author has an hindex of 9, co-authored 14 publications receiving 1118 citations. Previous affiliations of Joao Camargo Neto include University of Florida & University of Nebraska–Lincoln.
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Verification of color vegetation indices for automated crop imaging applications
TL;DR: In this article, an improved vegetation index, Excess Green minus Excess Red (ExG-ExR) was compared to the commonly used ExG, and the normalized difference (NDI) indices.
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Plant species identification using Elliptic Fourier leaf shape analysis
TL;DR: The Elliptic Fourier shape feature analysis could be an important and accurate tool for weed species identification and mapping.
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Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
TL;DR: Fuzzy excess red (ExR) and excess green (ExG) indices and clustering algorithms: fuzzy c-means (FCM) and Gustafson-Kessel (GK) were studied for unsupervised classification of hidden and prominent regions of interest (ROI) in color images.
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Individual leaf extractions from young canopy images using Gustafson-Kessel clustering and a genetic algorithm
TL;DR: In this paper, a new system for individual leaflet extraction was developed and tested, based on connected components, fuzzy clustering and a genetic optimization algorithm, which was used for taxonomic feature acquisition, species identification and mapping using a modern personal computer.