Short communicationMultisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing

- High-res UAV images allow canopy data extraction at single plant level.
- Remote and proximal technologies for high-res thermal monitoring in vineyard.
- Correlation between high-res remote sending, microclimatic data and grape quality.

The progressive impact of global warming on viticulture requires enhancing knowledge of vine responses to summer abiotic stresses. The aim of this research is an evaluation of heat and radiative stress effects in terms of temperature at cluster and canopy level. A high-resolution thermal monitoring approach is presented, which combines remote and proximal sensing with an unmanned aerial vehicle (UAV) and wireless sensor network (WSN) respectively. Remote sensing was first used to drive the design of the WSN experimental plan, while both remote sensing and WSN provided a combined dataset that allowed statistically significant predictors of grape quality to be obtained at individual vine level.

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