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Joaquim Bellvert

Researcher at University of California, Davis

Publications -  34
Citations -  926

Joaquim Bellvert is an academic researcher from University of California, Davis. The author has contributed to research in topics: Irrigation & Evapotranspiration. The author has an hindex of 10, co-authored 26 publications receiving 645 citations. Previous affiliations of Joaquim Bellvert include Teagasc.

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Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle

TL;DR: In this paper, a crop water stress index (CWSI) indicator was used to map the spatial variability in water deficits across an 11ha Pinot noir vineyard, which was determined based on canopy temperatures measured with infrared temperature sensors placed on top of well-watered and water-stressed grapevines in 2009 and 2010.
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Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery

TL;DR: In this paper, the authors determined the lower and upper baselines for calculating Remotely sensed crop water stress index (CWSI) for the Chardonnay, Pinot-noir, Syrah and Tempranillo varieties at different phenological stages.
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Phenological Sensitivity of Cabernet Sauvignon to Water Stress: Vine Physiology and Berry Composition

TL;DR: In this article, the effects of water stress on berry growth and composition of Cabernet Sauvignon grapevine at three phenological stages: anthesis to fruit set, fruit set to veraison, and harvest to harvest.
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Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds

TL;DR: In this paper, an aircraft equipped with a thermal sensor flew over the vineyard throughout the season, and the averaged water potential of each irrigation sector was used as the irrigation trigger.
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Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards

TL;DR: The approach presented in this study demonstrated that CWSI is a feasible method to assess the spatial variability of tree water status in heterogeneous orchards, and to derive ѰL maps throughout a complete growing season.