TechnodoseViti: Experimental modelling for the prediction of phytosanitary product deposits within the plant canopy in viticultureApplication to dose expression and precision viticultureAgronomic Innovations 88, 29-43.

Abstract

Work carried out as part of the Casdar RT TechnoDoseViti project (2018-2021) identified the vegetation descriptors needed to predict the statistical distribution of deposits resulting from plant protection products sprayed within the plant canopy (Cheraiet et al., 2021). This experimental modelling work (Codis et al., 2018) has made it possible to build, calibrate and validate multivariate models for predicting the different deciles of the quantity of surface deposits in the plant canopy as a function of vegetation descriptors (height, thickness, and porosity of the canopy) measured using a mobile 2D LiDAR sensor enabling a 3D reconstruction of the vegetation (Cheraiet et al., 2019 & 2020). Models were developed and calibrated for different types of sprayers and different viticultural contexts (wide vines and narrow vines). The data was used to compare different technological scenarios consisting of different mechanisation strategies and different levels of equipment technology, in order to assess the potential contribution of precision application techniques in terms of phytosanitary inputs reduction. As part of the project, a web simulator has been developed: https://technodoseviti.hdigitag.fr

Plant phenotyping relevance

移動式2D LiDARによる植物キャノピーの高さ・厚さ・空隙率の測定と3D再構成を用い、散布付着量予測モデルを構築・較正・検証しており、植物形態の取得・推定手法が中心である。

Code and data availability

The paper describes paper-specific phenotyping assets: raw LiDAR point clouds, individual spray-deposit measurements per collector (~12,000 units), and manual vegetation measurements across 2016-2021 trials. However, the authors state these are only available on request, not via a public deposit. The TechnoDoseViti web

No evidence-backed public reproduction asset is currently recorded.