New proximal sensing technologies are desirable in viticulture to assess and mapvineyard spatial variability. Towards this end, high-spatial resolution information can be obtainedusing novel, non-invasive sensors on-the-go. In order to improve yield, grape quality and watermanagement, the vineyard water status should be determined. The goal of this work was toassess and map vineyard water status using two different proximal sensing technologies on-thego: near infrared (NIR) reflectance spectroscopy and thermal imaging. On-the-go spectral andthermal measurements were acquired at solar noon, on east side of the canopy in a Tempranillo(Vitis vinifera L.) commercial vineyard. A spectrometer (1100-2100 nm) and thermal cameraoperating at 0.30 m and 1.20 m respectively from the canopy were mounted on a ATV whichmoved at 5 km/h. Midday stem water potential (s) was used as reference method. Spectral,thermal and physiological measurements were acquired over several dates from July toSeptember, in seasons 2015 and 2016. Partial least squares (PLS) was used as the algorithm forthe training of the water stress spectral prediction models. In the cross- validation, alldetermination coefficients (R2) were above the 0.89 marks for s. Moreover, canopy temperatureand the crop water stress index (CWSI) were correlated to stem water potential (s), with a R2value of 0.79. Vineyard water status was mapped using both near infrared reflectancespectroscopy and thermal imaging technologies and enabled the identification and delineation ofzones with homogeneous grapevine water status to steer precise and optimized irrigationschedules in the context of precision and sustainable viticulture. These results suggest that bothnear infrared reflectance spectroscopy and thermal imaging can be used to non-destructivelyassess and map the vine water status in commercial vineyards. In conclusions, both new sensingproximal technologies show the potential applicability for assessing and mapping of vineyardwater status in precision viticultur
