Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Tecnológico Metropolitano
2019
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| _version_ | 1876465948705161216 |
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| author | Jhon Pinto |
| author_facet | Jhon Pinto |
| contents | Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images Jhon Pinto Hoover Rueda-Chacón Henry Arguello Ingeniería post harvest ripening Hass avocado vegetation indices The use of non-invasive and low-cost methodologies allows the monitoring of fruit ripening and quality control, without affecting the product under study. In particular, the Hass avocado is of high importance for the agricultural sector in Colombia because the country is strongly promoting its export, which has generated an expansion in the number of acres cultivated with this fruit. Therefore, this paper aims to study and analyze the ripening state of Hass avocados through non-invasive hyperspectral images, using principal component analysis (PCA) along with spectral vegetation indices, such as the normalized difference vegetation index (NDVI), ratio vegetation index (RVI), photochemical reflectance index (PRI), colorimetry analysis in the CIE L*a*b* color space, and color index triangular greenness index (TGI). In particular, this work conducts a quantitative analysis of the ripening process of a population of 7 Hass avocados over 10 days. The avocados under study were classified into three categories: unripe, close-to-ripe, and ripe. The obtained results show that it is possible to characterize the ripening state of avocados through hyperspectral images using a non-invasive acquisition system. Further, it is possible to know the post-harvest ripening state of the avocado at any given day. 2019 artículo científico 0123-7799 https://www.redalyc.org/articulo.oa?id=344259723010 https://www.redalyc.org/journal/3442/344259723010/ https://www.redalyc.org/journal/3442/344259723010/html/ https://www.redalyc.org/journal/3442/344259723010/344259723010.epub https://www.redalyc.org/journal/3442/344259723010/movil https://doi.org/10.22430/22565337.1232 en http://www.redalyc.org/revista.oa?id=3442 TecnoLógicas application/pdf Instituto Tecnológico Metropolitano TecnoLógicas (Colombia) Num.45 Vol.22 |
| format | Artículo científico |
| id | redalyc_344259723010 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Instituto Tecnológico Metropolitano |
| spellingShingle | Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images Jhon Pinto Ingeniería post harvest ripening Hass avocado vegetation indices Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images Jhon Pinto Hoover Rueda-Chacón Henry Arguello Ingeniería post harvest ripening Hass avocado vegetation indices The use of non-invasive and low-cost methodologies allows the monitoring of fruit ripening and quality control, without affecting the product under study. In particular, the Hass avocado is of high importance for the agricultural sector in Colombia because the country is strongly promoting its export, which has generated an expansion in the number of acres cultivated with this fruit. Therefore, this paper aims to study and analyze the ripening state of Hass avocados through non-invasive hyperspectral images, using principal component analysis (PCA) along with spectral vegetation indices, such as the normalized difference vegetation index (NDVI), ratio vegetation index (RVI), photochemical reflectance index (PRI), colorimetry analysis in the CIE L*a*b* color space, and color index triangular greenness index (TGI). In particular, this work conducts a quantitative analysis of the ripening process of a population of 7 Hass avocados over 10 days. The avocados under study were classified into three categories: unripe, close-to-ripe, and ripe. The obtained results show that it is possible to characterize the ripening state of avocados through hyperspectral images using a non-invasive acquisition system. Further, it is possible to know the post-harvest ripening state of the avocado at any given day. 2019 artículo científico 0123-7799 https://www.redalyc.org/articulo.oa?id=344259723010 https://www.redalyc.org/journal/3442/344259723010/ https://www.redalyc.org/journal/3442/344259723010/html/ https://www.redalyc.org/journal/3442/344259723010/344259723010.epub https://www.redalyc.org/journal/3442/344259723010/movil https://doi.org/10.22430/22565337.1232 en http://www.redalyc.org/revista.oa?id=3442 TecnoLógicas application/pdf Instituto Tecnológico Metropolitano TecnoLógicas (Colombia) Num.45 Vol.22 |
| title | Classification of Hass avocado (persea americana mill) in terms of its ripening via hyperspectral images |
| topic | Ingeniería post harvest ripening Hass avocado vegetation indices |
| url | https://www.redalyc.org/articulo.oa?id=344259723010 https://www.redalyc.org/journal/3442/344259723010/ https://www.redalyc.org/journal/3442/344259723010/html/ https://www.redalyc.org/journal/3442/344259723010/344259723010.epub https://www.redalyc.org/journal/3442/344259723010/movil https://doi.org/10.22430/22565337.1232 |