Ground-Based Thermal Imaging for Assessing Crop Water Status in Grapevines over a Growing Season

نویسندگان

چکیده

The quality of wine grapes in dry climates greatly depends on utilizing optimal amounts irrigation water during the growing season. Robust and accurate techniques are essential for assessing crop status grapevines so that both over-irrigation excessive deficits can be avoided. This study proposes a robust strategy to assess grapevines. Experiments were performed Riesling (Vitis vinfera L.) planted rows oriented north–south subjected three regimes vineyard maintained at an experimental farm southeastern Washington, USA. Thermal red–green–blue (RGB) images acquired season, using thermal imaging sensor digital camera installed ground-based platform such cameras orthogonally canopy. A custom-developed algorithm was created automatically derive canopy temperature (Tc) calculate stress index (CWSI) from thermal-RGB images. relationship between leaf potential (Ψleaf) CWSI investigated. results revealed proposed combining RGB determine used There correlation Ψleaf with R-squared value 0.67 measurements It also found shaded (east) side achieved better compared sunlit (west) around solar noon. allowed real-time assessment commercial vineyards may decision support systems grapevine management.

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ژورنال

عنوان ژورنال: Agronomy

سال: 2022

ISSN: ['2156-3276', '0065-4663']

DOI: https://doi.org/10.3390/agronomy12020322