A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting
The primary purpose of this study was to improve our understanding of remote sensing technologies and their potential application in vineyards to monitor yields and fruit composition, which could then be used for selective harvesting and winemaking. For yield and berry composition data collection, r...
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MDPI AG
2024-12-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/14/1/88 |
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| author | Leeko Lee Andrew Reynolds Briann Dorin Adam Shemrock |
| author_facet | Leeko Lee Andrew Reynolds Briann Dorin Adam Shemrock |
| author_sort | Leeko Lee |
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| description | The primary purpose of this study was to improve our understanding of remote sensing technologies and their potential application in vineyards to monitor yields and fruit composition, which could then be used for selective harvesting and winemaking. For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. The spectral reflectance data were further analyzed for vegetation indices to evaluate the correlation between the variables. Moran’s global index and map analysis were used to determine spatial clustering patterns and correlations between variables. The results of this study indicated that remote sensing data in the form of vegetation indices from the RPAS were positively correlated with yield and berry weight across sites and years. There was a positive correlation between the thermal emission and berry pH, berry phenols, and anthocyanins in certain sites and years. Overall, remote sensing technology has the potential to monitor and predict grape quality and yield, but further research on the efficacy of this data is needed for selective harvesting and winemaking. |
| format | Article |
| id | doaj-art-65edfad00bf34bdf8be91642bfe677dd |
| institution | Kabale University |
| issn | 2223-7747 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Plants |
| spelling | doaj-art-65edfad00bf34bdf8be91642bfe677dd2025-01-10T13:19:43ZengMDPI AGPlants2223-77472024-12-011418810.3390/plants14010088A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective HarvestingLeeko Lee0Andrew Reynolds1Briann Dorin2Adam Shemrock3Department of Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, CanadaDepartment of Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, CanadaDepartment of Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, CanadaAirTech UAV Solutions Inc., Inverary, ON K0H 1X0, CanadaThe primary purpose of this study was to improve our understanding of remote sensing technologies and their potential application in vineyards to monitor yields and fruit composition, which could then be used for selective harvesting and winemaking. For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. The spectral reflectance data were further analyzed for vegetation indices to evaluate the correlation between the variables. Moran’s global index and map analysis were used to determine spatial clustering patterns and correlations between variables. The results of this study indicated that remote sensing data in the form of vegetation indices from the RPAS were positively correlated with yield and berry weight across sites and years. There was a positive correlation between the thermal emission and berry pH, berry phenols, and anthocyanins in certain sites and years. Overall, remote sensing technology has the potential to monitor and predict grape quality and yield, but further research on the efficacy of this data is needed for selective harvesting and winemaking.https://www.mdpi.com/2223-7747/14/1/88remotely piloted aircraft system (RPAS)precision viticulturevegetation index (VI)NDVIthermal emissionremote sensing |
| spellingShingle | Leeko Lee Andrew Reynolds Briann Dorin Adam Shemrock A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting Plants remotely piloted aircraft system (RPAS) precision viticulture vegetation index (VI) NDVI thermal emission remote sensing |
| title | A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting |
| title_full | A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting |
| title_fullStr | A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting |
| title_full_unstemmed | A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting |
| title_short | A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting |
| title_sort | feasibility study on utilizing remote sensing data to monitor grape yield and berry composition for selective harvesting |
| topic | remotely piloted aircraft system (RPAS) precision viticulture vegetation index (VI) NDVI thermal emission remote sensing |
| url | https://www.mdpi.com/2223-7747/14/1/88 |
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