VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits
In this work an N-way partial least squares regression discriminant analysis (NPLS-DA) methodology is developed to detect symptoms of disease caused by Penicillium digitatum in citrus fruits (green mould) using visible/near infrared (VIS/NIR) hyperspectral images. To build the discriminant model a s...
| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
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Elsevier
2020
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6744 https://www.sciencedirect.com/science/article/abs/pii/S0169743916301058 |
| _version_ | 1855032481985593344 |
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| author | Folch-Fortuny, A. Prats-Montalbán, José M. Cubero, Sergio Blasco, José Ferrer, Alberto |
| author_browse | Blasco, José Cubero, Sergio Ferrer, Alberto Folch-Fortuny, A. Prats-Montalbán, José M. |
| author_facet | Folch-Fortuny, A. Prats-Montalbán, José M. Cubero, Sergio Blasco, José Ferrer, Alberto |
| author_sort | Folch-Fortuny, A. |
| collection | ReDivia |
| description | In this work an N-way partial least squares regression discriminant analysis (NPLS-DA) methodology is developed to detect symptoms of disease caused by Penicillium digitatum in citrus fruits (green mould) using visible/near infrared (VIS/NIR) hyperspectral images. To build the discriminant model a set of oranges and mandarins was infected by the fungus and another set was infiltrated just with water for control purposes. A double cross-validation strategy is used to validate the discriminant models. Finally, permutation testing is used to select a few bands offering the best correct classification rates in the validation set. The discriminant models developed here can be potentially implemented in a fruit packinghouse to detect infected citrus fruits at their arrival from the field with affordable multispectral (3–5 channels) cameras installed in the packinglines. |
| format | article |
| id | ReDivia6744 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | ReDivia67442025-04-25T14:47:46Z VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits Folch-Fortuny, A. Prats-Montalbán, José M. Cubero, Sergio Blasco, José Ferrer, Alberto Hyperspectral imaging Near infrared NPLS-DA N01 Agricultural engineering In this work an N-way partial least squares regression discriminant analysis (NPLS-DA) methodology is developed to detect symptoms of disease caused by Penicillium digitatum in citrus fruits (green mould) using visible/near infrared (VIS/NIR) hyperspectral images. To build the discriminant model a set of oranges and mandarins was infected by the fungus and another set was infiltrated just with water for control purposes. A double cross-validation strategy is used to validate the discriminant models. Finally, permutation testing is used to select a few bands offering the best correct classification rates in the validation set. The discriminant models developed here can be potentially implemented in a fruit packinghouse to detect infected citrus fruits at their arrival from the field with affordable multispectral (3–5 channels) cameras installed in the packinglines. 2020-11-11T09:22:05Z 2020-11-11T09:22:05Z 2016 article acceptedVersion Folch-Fortuny, A., Prats-Montalbán, J. M., Cubero, S., Blasco, J., & Ferrer, A. (2016). VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits. Chemometrics and Intelligent Laboratory Systems, 156, 241-248. 0169-7439 http://hdl.handle.net/20.500.11939/6744 10.1016/j.chemolab.2016.05.005 https://www.sciencedirect.com/science/article/abs/pii/S0169743916301058 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess Elsevier electronico |
| spellingShingle | Hyperspectral imaging Near infrared NPLS-DA N01 Agricultural engineering Folch-Fortuny, A. Prats-Montalbán, José M. Cubero, Sergio Blasco, José Ferrer, Alberto VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title | VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title_full | VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title_fullStr | VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title_full_unstemmed | VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title_short | VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits |
| title_sort | vis nir hyperspectral imaging and n way pls da models for detection of decay lesions in citrus fruits |
| topic | Hyperspectral imaging Near infrared NPLS-DA N01 Agricultural engineering |
| url | http://hdl.handle.net/20.500.11939/6744 https://www.sciencedirect.com/science/article/abs/pii/S0169743916301058 |
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