Classificação de Espécies de Pimentas Empregando Análise de Imagens Digitais de Componentes Principais

Silva, Paulo Renato Baliza; Filho, Arlindo Rodrigues Galvão; Nogueira, Heber Valdo; Flores, Igor S.; Coelho, Clarimar José

doi:10.18224/arithmos.v1i1.6856

ARTH

2019

DOI: 10.18224/arithmos.v1i1.6856

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Classificação de Espécies de Pimentas Empregando Análise de Imagens Digitais de Componentes Principais

Paulo Renato Baliza Silva

Arlindo Rodrigues Galvão Filho

Heber Valdo Nogueira

et al.

Abstract: O objetivo do trabalho é a classificação automática de imagens de pimentas por espécie. A classificação é feita empregando a análise de componentes principais (Principal Component Analysis, PCA) a partir de um conjunto de dados de 345 imagens de pimentas no padrão vermelho, verde e azul (Red, Green, Blue, RGB) obtidas com a câmera JAI AD-080GE. Os resultados obtidos mostram uma acurácia de 72,97% do modelo proposto para classificação das pimentas.

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A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

Santos,

Melo,

Sousa

et al. 2024

Plant Breeding

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Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness. This study aimed to evaluate the phenotypic diversity among accessions of ornamental pepper using image processing techniques to identify fruit colours. Photos from 40 fruits from each of 12 accessions were captured by a camera from a smartphone. Separate channels and colour indices were extracted from the images to analyse the accessions using both dendrogram and principal components analysis. Dendrogram analysis allowed separating accessions with predominance of dark fruits from those whose fruits showed lighter and more vivid colours, with a cophenetic correlation coefficient of 0.811. The VARI and NGRDI vegetation indices were efficient in discriminating fruits with a predominance of green colour, and the BGI could be used to discriminate accessions with predominantly reddish‐brown fruits. The proposed method can be used in small‐scale breeding programs for accurately assessing the development of varieties regarding their fruit colour diversity.

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A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

Santos,

Melo,

Sousa

et al. 2024

Plant Breeding

View full text Add to dashboard Cite

show abstract

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Classificação de Espécies de Pimentas Empregando Análise de Imagens Digitais de Componentes Principais

Cited by 1 publication

References 6 publications

A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

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