Investigation on LiDAR-based indicators for predicting agrochemical deposition within a vine field
Résumé
One strategy to reduce usage of crop protection agrochemicals in viticulture is to adjust the spray rate according to local vegetation characteristics. Acquisitions of mobile 2D LiDAR data and deposition rate measurements with a face-to-face sprayer were made on plant blocks in 5 fields and at 4 dates in a Mediterranean vineyard. Two indicators were calculated: the leaf wall area by points and the tree area index. Univariate deposition prediction models using either indicator were estimated from data acquired in 2 fields, and evaluated with regards to data from 3 other fields. In this experiment with a 3 m spatial resolution, the model based on LWApts was found a little more accurate.