terclim by ICS banner
IVES 9 IVES Conference Series 9 Combination of NIR multispectral information acquired from a ground moving vehicle with AI methods to assess the vine water status in a Tempranillo (Vitis vinifera L.) commercial vineyard

Combination of NIR multispectral information acquired from a ground moving vehicle with AI methods to assess the vine water status in a Tempranillo (Vitis vinifera L.) commercial vineyard

Abstract

Increasing water scarcity and unpredictable rainfall patterns necessitate efficient water management in grape production. This study proposes a novel approach for monitoring grapevine water status in a commercial vertically-shoot-positioned Vitis vinifera L. Tempranillo vineyard using non-invasive spectroscopy with a battery of different AI methods to assess vineyard water status, that could drive precise irrigation. A contactless, miniature NIR spectrometer (900-1900 nm) mounted on a moving vehicle (3 Km/h) was employed to collect spectral data from the vines’ northeast side along six dates in season 2021.Grapevines were monitored at solar noon using stem water potential (Ψs) as reference parameter of plant water status. At each date, 36 measurements of Ψs were taken making a total of 396 data in the whole season. AI techniques, including linear regression, gaussian process regression (GPR) support vector machine (SVM), and neural networks, trained with Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) algorithms were implemented in MATLAB (using the Regression Learner and Natural Net Fitting apps) to analyze the spectral data and predict vine water status. The optimized GPR model achieved the best performance, with a determination coefficient (R2P) above 0.83 and a root mean squared error of prediction (RMSEP) of 0.112 MPa. However, several neural network models trained with the LM algorithm exhibited superior performance, with R2P values over 0.92 and RMSEP values of approximately 0.080 MPa. This study demonstrates the potential of non-invasive spectroscopy combined with AI methods for accurate prediction of grapevine water status, paving the way for precision irrigation in vineyards.

Download the abstract

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Fernando Rubio-Ordoyo1, María Paz Diago,1,2, Ignacio Barrio1,2, Juan Fernández-Novales1,2*

1 Department of Agriculture and Food Science. University of La Rioja. C/Madre de Dios 53. 26007. Logroño, (La Rioja) Spain
2 Institute of Sciences of Vine and Wine (CSIC, University of La Rioja, La Rioja Government) Finca La Grajera. Ctra. de Burgos Km 6. 26007. Logroño. (La Rioja). Spain

Contact the author*

Keywords

Vine water status, NIR spectrophotometer, Stem water potential, Gaussian Regression Process, Levenberg-Marquardt algorithm

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Terroir and climate: the role of homoclime matching

Climate is an important component or determinant of terroir, especially at the regional level. One can define three levels of terroir. These are the macro– or regional scale, which applies over tens of kilometres of the landscape. The second level is the meso- scale, which applies over kilometres or hundreds of meters, at the individual vineyard scale.

Read More

Genetic identification of 200-year-old Serbian grapevine herbarium

Botanist Andreas Raphael Wolny collected a grapevine herbarium from 1812-1824 in Sremski Karlovci (wine region of Vojvodina, Serbia), which represents local cultivated grapevine diversity before the introduction of grape phylloxera in the region. The herbarium comprises over 100 samples organized into two subcollections based on berry colour (red and white varieties), totaling 47 different grape varieties. The objective of this study was to investigate the historical varietal assortment of Balkan and Pannonian winegrowing areas with long viticulture traditions.

Read More

Unravelling regional typicality of Australian premium Shiraz through an untargeted metabolomics approach

Aims: The current study seeks to demonstrate that premium Shiraz wines from different Australian geographic indications (GI) can be distinguished by their volatile compound composition. 

Read More

Preliminary study of extraction of polysaccharides from pomace by high powered ultrasonic combined with enzymes

Red grape pomace can be an important source of polysaccharides, but currently they are little studied and even less with viable and environmental extraction processes (green extraction). These green techniques must be able to break the cell wall so that the compounds contained in the cells, including polysaccharides, are released and can have a great influence on extraction yields, the chemical structure of polysaccharides and applications in wines. Amongst the emerging green techniques most applied to the extraction of bioactive compounds, such as polysaccharides, high-power ultrasound (US) and enzyme-assisted extraction stand out.

Read More

Application of viticulture zoning in Istria (Croatia) as important element for valorization of all territory resources (product, environment, tourism and others)

Un projet touristique innovant est en cours dans la zone historique croate d’Istrie Centrale, autour de la magnifique ville de Motovun. L’approche méthodologique repose sur le concept de «Système Productif-Global du Territoire» et s’appuie tout particulièrement sur celui de « Zonage Vitivinicole ». Elle tient compte de toutes les facettes, définies dans celui de « Grand Zonage » (Cargnello G., 1999).

Read More