Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard
Hyperspectral imaging offers enormous potential for measuring grape composition with a high degree of representativity, allowing all exposed grapes from the cluster to be examined non-destructively. On-the-go hyperspectral images were acquired using a push broom hyperspectral camera (400–100 nm) tha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/12/2534 |
| _version_ | 1797506990505721856 |
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| author | Juan Fernández-Novales Ignacio Barrio María Paz Diago |
| author_facet | Juan Fernández-Novales Ignacio Barrio María Paz Diago |
| author_sort | Juan Fernández-Novales |
| collection | DOAJ |
| description | Hyperspectral imaging offers enormous potential for measuring grape composition with a high degree of representativity, allowing all exposed grapes from the cluster to be examined non-destructively. On-the-go hyperspectral images were acquired using a push broom hyperspectral camera (400–100 nm) that was mounted in the front part of a motorized platform moving at 5 km/h in a commercial Tempranillo vineyard in La Rioja, Spain. Measurements were collected on three dates during grape ripening in 2018 on the east side of the canopy, which was defoliated in the basal fruiting zone. A total of 144 grape clusters were measured for Total soluble solids (TSS), Titratable acidity (TA), pH, Tartaric and Malic acid, Anthocyanins and Total polyphenols, using standard wet chemistry reference methods, throughout the entire experiment. Partial Least Squares (PLS) regression was used to build calibration, cross validation and prediction models for the grape composition parameters. The best performances returned determination coefficients values of external validation (R<sup>2</sup><sub>p</sub>) of 0.82 for TSS, 0.81 for Titratable acidity, 0.61 for pH, 0.62 for Tartaric acid, 0.84 for Malic acid, 0.88 for Anthocyanins and 0.55 for Total polyphenols. The promising results exposed in this work disclosed a notable methodology on-the-go for the non-destructive, in-field assessment of grape quality composition parameters along the ripening period. |
| first_indexed | 2024-03-10T04:40:19Z |
| format | Article |
| id | doaj.art-3874f188e88241ebbb404b69865be17e |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T04:40:19Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-3874f188e88241ebbb404b69865be17e2023-11-23T03:23:23ZengMDPI AGAgronomy2073-43952021-12-011112253410.3390/agronomy11122534Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the VineyardJuan Fernández-Novales0Ignacio Barrio1María Paz Diago2Institute of Grapevine and Wine Sciences, University of La Rioja, Consejo Superior de Investigaciones Científicas, Gobierno de La Rioja, 26007 Logroño, SpainInstitute of Grapevine and Wine Sciences, University of La Rioja, Consejo Superior de Investigaciones Científicas, Gobierno de La Rioja, 26007 Logroño, SpainInstitute of Grapevine and Wine Sciences, University of La Rioja, Consejo Superior de Investigaciones Científicas, Gobierno de La Rioja, 26007 Logroño, SpainHyperspectral imaging offers enormous potential for measuring grape composition with a high degree of representativity, allowing all exposed grapes from the cluster to be examined non-destructively. On-the-go hyperspectral images were acquired using a push broom hyperspectral camera (400–100 nm) that was mounted in the front part of a motorized platform moving at 5 km/h in a commercial Tempranillo vineyard in La Rioja, Spain. Measurements were collected on three dates during grape ripening in 2018 on the east side of the canopy, which was defoliated in the basal fruiting zone. A total of 144 grape clusters were measured for Total soluble solids (TSS), Titratable acidity (TA), pH, Tartaric and Malic acid, Anthocyanins and Total polyphenols, using standard wet chemistry reference methods, throughout the entire experiment. Partial Least Squares (PLS) regression was used to build calibration, cross validation and prediction models for the grape composition parameters. The best performances returned determination coefficients values of external validation (R<sup>2</sup><sub>p</sub>) of 0.82 for TSS, 0.81 for Titratable acidity, 0.61 for pH, 0.62 for Tartaric acid, 0.84 for Malic acid, 0.88 for Anthocyanins and 0.55 for Total polyphenols. The promising results exposed in this work disclosed a notable methodology on-the-go for the non-destructive, in-field assessment of grape quality composition parameters along the ripening period.https://www.mdpi.com/2073-4395/11/12/2534grape clusterprecision viticulturepartial least squaresnon-destructive technologyberry maturityberry composition |
| spellingShingle | Juan Fernández-Novales Ignacio Barrio María Paz Diago Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard Agronomy grape cluster precision viticulture partial least squares non-destructive technology berry maturity berry composition |
| title | Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard |
| title_full | Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard |
| title_fullStr | Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard |
| title_full_unstemmed | Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard |
| title_short | Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard |
| title_sort | non invasive monitoring of berry ripening using on the go hyperspectral imaging in the vineyard |
| topic | grape cluster precision viticulture partial least squares non-destructive technology berry maturity berry composition |
| url | https://www.mdpi.com/2073-4395/11/12/2534 |
| work_keys_str_mv | AT juanfernandeznovales noninvasivemonitoringofberryripeningusingonthegohyperspectralimaginginthevineyard AT ignaciobarrio noninvasivemonitoringofberryripeningusingonthegohyperspectralimaginginthevineyard AT mariapazdiago noninvasivemonitoringofberryripeningusingonthegohyperspectralimaginginthevineyard |