Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality
Non-destructive tools for the in situ evaluation of vine fruit quality and vineyard management can improve the market value of table grape. We proposed a new approach based on a portable fluorescence sensor to map the ripening level of Crimson Seedless table grape in five different plots in the East...
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/4/983 |
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| author | Lorenza Tuccio Lucia Cavigli Francesca Rossi Olga Dichala Fotis Katsogiannos Ilias Kalfas Giovanni Agati |
| author_facet | Lorenza Tuccio Lucia Cavigli Francesca Rossi Olga Dichala Fotis Katsogiannos Ilias Kalfas Giovanni Agati |
| author_sort | Lorenza Tuccio |
| collection | DOAJ |
| description | Non-destructive tools for the in situ evaluation of vine fruit quality and vineyard management can improve the market value of table grape. We proposed a new approach based on a portable fluorescence sensor to map the ripening level of Crimson Seedless table grape in five different plots in the East, Central-North and South of the Macedonia Region of Greece. The sensor provided indices of ripening and color such as SFR<sub>R</sub> and ANTH<sub>RG</sub> correlated to the chlorophyll and anthocyanin berry contents, respectively. The mean ANTH<sub>RG</sub> index was significantly different among all the plots examined due to the occurrence of different environmental conditions and/or asynchronous ripening processes. The indices presented moderate, poor in some cases, spatial variability, probably due to a significant vine-to-vine, intra-vine and intra-bunch variability. The cluster analysis was applied to the plot with the most evident spatial structure (at Kilkis). Krigged maps of the SFR<sub>R</sub>, ANTH<sub>RG</sub> and yield were classified by k-means clustering in two-zones that differed significantly in their mean values. ANTH<sub>RG</sub> and SFR<sub>R</sub> were inversely correlated over 64% of the plot. SFR<sub>R</sub> appeared to be a potential useful proxy of yield since it was directly correlated to yield over 66% of the plot. The grape color (ANTH<sub>RG</sub>) was slightly higher over the low-yield zones with respect to the high-yield zones. Our study showed that the combination of anthocyanins and chlorophyll indices detected in the field on Crimson Seedless table grape by a portable fluorescence sensor can help in defining the best harvest time and the best areas for harvesting. |
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| language | English |
| last_indexed | 2024-04-11T22:03:13Z |
| publishDate | 2020-02-01 |
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| series | Sensors |
| spelling | doaj.art-6cb26be706aa41a8a9a8c56f6622be752022-12-22T04:00:48ZengMDPI AGSensors1424-82202020-02-0120498310.3390/s20040983s20040983Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape QualityLorenza Tuccio0Lucia Cavigli1Francesca Rossi2Olga Dichala3Fotis Katsogiannos4Ilias Kalfas5Giovanni Agati6Istituto di Fisica Applicata “Nello Carrara” IFAC, Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyIstituto di Fisica Applicata “Nello Carrara” IFAC, Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyIstituto di Fisica Applicata “Nello Carrara” IFAC, Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyAmerican Farm School, 54 Marinou Antypa Street, P.O. Box 23, 55102 Thessaloniki, GreeceAmerican Farm School, 54 Marinou Antypa Street, P.O. Box 23, 55102 Thessaloniki, GreeceAmerican Farm School, 54 Marinou Antypa Street, P.O. Box 23, 55102 Thessaloniki, GreeceIstituto di Fisica Applicata “Nello Carrara” IFAC, Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyNon-destructive tools for the in situ evaluation of vine fruit quality and vineyard management can improve the market value of table grape. We proposed a new approach based on a portable fluorescence sensor to map the ripening level of Crimson Seedless table grape in five different plots in the East, Central-North and South of the Macedonia Region of Greece. The sensor provided indices of ripening and color such as SFR<sub>R</sub> and ANTH<sub>RG</sub> correlated to the chlorophyll and anthocyanin berry contents, respectively. The mean ANTH<sub>RG</sub> index was significantly different among all the plots examined due to the occurrence of different environmental conditions and/or asynchronous ripening processes. The indices presented moderate, poor in some cases, spatial variability, probably due to a significant vine-to-vine, intra-vine and intra-bunch variability. The cluster analysis was applied to the plot with the most evident spatial structure (at Kilkis). Krigged maps of the SFR<sub>R</sub>, ANTH<sub>RG</sub> and yield were classified by k-means clustering in two-zones that differed significantly in their mean values. ANTH<sub>RG</sub> and SFR<sub>R</sub> were inversely correlated over 64% of the plot. SFR<sub>R</sub> appeared to be a potential useful proxy of yield since it was directly correlated to yield over 66% of the plot. The grape color (ANTH<sub>RG</sub>) was slightly higher over the low-yield zones with respect to the high-yield zones. Our study showed that the combination of anthocyanins and chlorophyll indices detected in the field on Crimson Seedless table grape by a portable fluorescence sensor can help in defining the best harvest time and the best areas for harvesting.https://www.mdpi.com/1424-8220/20/4/983anthocyanin mappingchlorophyll mappingcrimson seedlessfluorescenceprecision viticultureoptical sensorstable grapezoning |
| spellingShingle | Lorenza Tuccio Lucia Cavigli Francesca Rossi Olga Dichala Fotis Katsogiannos Ilias Kalfas Giovanni Agati Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality Sensors anthocyanin mapping chlorophyll mapping crimson seedless fluorescence precision viticulture optical sensors table grape zoning |
| title | Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality |
| title_full | Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality |
| title_fullStr | Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality |
| title_full_unstemmed | Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality |
| title_short | Fluorescence-Sensor Mapping for the in Vineyard Non-Destructive Assessment of Crimson Seedless Table Grape Quality |
| title_sort | fluorescence sensor mapping for the in vineyard non destructive assessment of crimson seedless table grape quality |
| topic | anthocyanin mapping chlorophyll mapping crimson seedless fluorescence precision viticulture optical sensors table grape zoning |
| url | https://www.mdpi.com/1424-8220/20/4/983 |
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