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Potential of a Remotely Piloted Aircraft System with Multispectral and Thermal Sensors to Monitor Vineyard Characteristics for Precision Viticulture.

Plants (Basel, Switzerland)·2025
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective

Leeko Lee1, Andrew Reynolds1, Briann Dorin1

  • 1Department of Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada.

Plants (Basel, Switzerland)
|January 11, 2025
PubMed
Summary

Remote sensing technology, using multispectral and thermal sensors on a remotely piloted aircraft system (RPAS), shows promise for monitoring vineyard yield and grape quality. Further research is needed to optimize its use in selective harvesting and winemaking.

Keywords:
NDVIanthocyaninsgrapesphenolsprecision viticultureremote sensingremotely piloted aircraft system (RPAS)thermal emissionvegetation index (VI)yield

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Area of Science:

  • Agricultural Science
  • Remote Sensing Technology
  • Viticulture

Background:

  • Accurate monitoring of vineyard yield and grape composition is crucial for optimizing harvesting and winemaking decisions.
  • Traditional methods can be labor-intensive and may not capture spatial variability within vineyards.

Purpose of the Study:

  • To assess the potential of remote sensing technologies for monitoring vineyard yield and berry composition.
  • To evaluate the correlation between vegetation indices derived from multispectral and thermal data and key grape parameters.

Main Methods:

  • Geolocated vines were surveyed using multispectral and thermal sensors on a remotely piloted aircraft system (RPAS).
  • Spectral reflectance data were analyzed for vegetation indices.
  • Moran's global index and map analysis were employed to assess spatial patterns.

Main Results:

  • Vegetation indices derived from RPAS data positively correlated with grape yield and berry weight across different sites and years.
  • Thermal emission showed a positive correlation with berry pH, phenols, and anthocyanins in specific contexts.
  • Spatial analysis revealed clustering patterns and correlations between remote sensing variables and grape parameters.

Conclusions:

  • Remote sensing technology, particularly vegetation indices from RPAS, holds significant potential for predicting grape yield and quality.
  • The findings support the application of remote sensing for enhanced vineyard management, including selective harvesting and winemaking.
  • Additional research is recommended to fully establish the efficacy of remote sensing data for practical viticultural applications.