Lee Leeko, Reynolds Andrew, Dorin Briann, Shemrock Adam
Department of Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada.
AirTech UAV Solutions Inc., Inverary, ON K0H 1X0, Canada.
Plants (Basel). 2024 Dec 31;14(1):88. doi: 10.3390/plants14010088.
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.
本研究的主要目的是增进我们对遥感技术及其在葡萄园监测产量和果实成分方面潜在应用的理解，这些信息随后可用于选择性采收和酿酒。为了收集产量和浆果成分数据，从葡萄园地块中选取了具有代表性的葡萄藤并进行地理定位，2015年和2016年使用RPAS中的多光谱和热传感器对相同的葡萄藤进行遥感数据收集。对光谱反射率数据进一步分析以获取植被指数，从而评估变量之间的相关性。使用莫兰全局指数和地图分析来确定空间聚类模式以及变量之间的相关性。本研究结果表明，来自RPAS的植被指数形式的遥感数据在不同地点和年份与产量和浆果重量呈正相关。在某些地点和年份，热辐射与浆果pH值、浆果酚类物质和花青素之间存在正相关。总体而言，遥感技术有潜力监测和预测葡萄品质及产量，但对于选择性采收和酿酒，还需要进一步研究这些数据的有效性。
