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Physiological variable predictions using VIS–NIR spectroscopy for water stress detection on grapevine: Interest in combining climate data using multiblock method

Maxime Ryckewaert, Daphné Heran, Thierry Simonneau, Florent Abdelghafour, Romain Boulord, Nicolas Saurin, Daniel C. Moura, Silvia Mas-Garcia, Ryad Bendoula

2022Computers and Electronics in Agriculture18 citationsDOIOpen Access PDF

Topics & Concepts

Partial least squares regressionStomatal conductanceTranspirationMean squared errorWater stressCoefficient of determinationMathematicsEnvironmental scienceHyperspectral imagingStatisticsChemistryRemote sensingHorticulturePhotosynthesisGeographyBiologyBiochemistryHorticultural and Viticultural ResearchRemote Sensing in AgricultureSpectroscopy and Chemometric Analyses
Physiological variable predictions using VIS–NIR spectroscopy for water stress detection on grapevine: Interest in combining climate data using multiblock method | Litcius