VINESYM: an integrated vine and grapevine mathematical model for vegetative development and production quality forecast

Abstract

The present work deal with the development of a mathematical model able to predict, using time dependent meteorological data, soil and vine characteristics, the growing of a vine and grapevine in terms of leaf area, shoot length, fruit and vegetative mass and finally sugar and acid content of the berry. The model is based upon a source-sink relationship approach, integrated with a soil-atmosphere model, where water accumulation in soil, sap flow across vine are coupled with potential carbon demand functions to directly consider possible water and temperature stresses. The model includes also a N2 sink-source approach, limiting growth rate following N2 availability. Finally, a mechanistic model to evaluate sugar accumulation and a correlation-based model for acid concentration evaluation in the berry is coupled with vegetative growth, to provide the information required to manage vineyard operations and evaluate the impact to the potential wine quality. The primary distinctive trait of this model is then the integration and feedback among prediction of grapevine quality model (sugar an acid content) and vegetative growth model, using a common initial ad boundary conditions data set.

A digital twin application for vineyards sustainable management

“…Data records for calibration purposes have been taken in three different locations in 2017 and 2018, following a similar work performed in [13]. The considered locations and vineyard characteristics are reported below Data were taken on selected test rows (30% of the total) in three different points (both row ends and center), randomly choosing a different vine every measurement to increase statistical reliability of data.…”

“…A simplified soil water balance model is providing time step-based soil water content, as well as the nutritional model provide N 2 content in the root zone (not part of the present activity). Phenological state are modelled following the work reported in [13]. A simplified photosynthetic model based on calculated leaf surface temperature coupled with a logistic-based growing function is used to evaluate carbon supply.…”

“…Which depend on GDD 0 , the growing degree days' scale using 0° as base temperature and a, b and c where tuned over recorded field data. Based on this correlation and the work of [29], a correlation has been used to calculate TA, the total fixed acidity concentration (g/l)) pH= a*GDD 0 2 +b*GDD 0 +c (12) TA = -10.754*pH + 51.033 (13) 3…”