Terroir 2006 banner
IVES 9 IVES Conference Series 9 Vine field monitoring using high resolution remote sensing images: segmentation and characterization of rows of vines

Vine field monitoring using high resolution remote sensing images: segmentation and characterization of rows of vines

Abstract

A new framework for the segmentation and characterization of row crops on remote sensing images has been developed and validated for vineyard monitoring. This framework operates on any high-resolution remote sensing images since it is mainly based on geometric information. It aims at obtaining maps describing the variation of a vegetation index such as NDVI along each row of a parcel.
The framework consists in several steps. First, the segmentation step allows the delineation of the parcel under consideration. A region-growing algorithm, based on the textural properties of row crops, was developed for this purpose. Once the parcel under consideration is delineated, a boundary smoothing process is applied and the row detection process begins. Row detection operates by means of an active contour model based on a network of parallel lines. The last step is the design of vegetative vigor maps. Row vigor is computed using pixels neighboring the lines of the network. Once row vigor is obtained on the rows, 2D vigor-maps are constructed. The values measured on the row are propagated to the inter-row pixels, producing «continuous» vigor maps ready to be exported to a GIS software. We successfully exercised our framework on vineyard images. The resulting parcel segmentations and row detections were accurate and the overall computational time was acceptable.

DOI:

Publication date: December 22, 2021

Issue: Terroir 2006

Type: Article

Authors

Jean-Pierre DA COSTA, Christian GERMAIN, Olivier LAVIALLE, Saeid HOMAYOUNI and Gilbert GRENIER

LAPS CNRS – ENITAB – ENSEIRB, Université Bordeaux 1
351 cours de La Libération, 3305 Talence cedex, France

Contact the author

Keywords

remote sensing, image processing, row crop, vine

Tags

IVES Conference Series | Terroir 2006

Citation

Related articles…

1H-NMR-based Metabolomics to assess the impact of soil type on the chemical composition of Mediterranean red wines

The aim of this study was to evaluate the effects of different soil types on the chemical composition of Mediterranean red wines, through untargeted and targeted 1H-NMR metabolomics. One milliliter of raw wine was analyzed by means of a Bruker Avance II 400 spectrometer operating at 400.15 MHz. The spectra were recorded by applying the NOESYGPPS1D pulse sequency, to achieve water and ethanol signals suppression. No modification of the pH was performed to avoid any chemical alteration of the matrix. The generation of input variables for untargeted analysis was done via bucketing the spectra. The resulting dataset was preprocessed prior to perform unsupervised PCA, by means of MetaboAnalyst web-based tool suite. The identification of compounds for the targeted analysis was performed by comparison to pure compounds spectra by means of SMA plug-in of MNova 14.2.3 software. The dataset containing the concentrations (%) of identified compounds was subjected to one-way analysis of variance (ANOVA) to highlight significant differences among the wines. The untargeted analysis, carried out through the PCA, revealed a clear differentiation among the wines. The fragments of the spectra contributing mostly to the separation were attributed to flavonoids, aroma compounds and amino acids. The targeted analysis leaded to the identification of 68 compounds, whose concentrations were significant different among the wines. The results were related to soils physical-chemical analysis and showed that: 1) high concentrations of flavan-3-ols and flavonols are correlated with high clay content in soils; 2) high concentrations of anthocyanins, amino acids, and aroma compounds are correlated with neutral and moderately alkaline soil pH; 3) low concentrations of flavonoids and aroma compounds are correlated with high soil organic matter content and acidic pH. The 1H-NMR metabolomic analysis proved to be an excellent tool to discriminate between wines originating from grapes grown on different soil types and revealed that soils in the Mediterranean area exert a strong impact on the chemical composition of the wines.

Simulating single band multispectral imaging from hyperspectral imaging: A study into the application of single band visible to near-infrared multispectral imaging for determining table grape quality

To be accepted by the market and consumers table grapes need to meet certain requirements in terms of physical and chemical quality parameters.

Carbon isotope labeling to detect source-sink relationships in grapevines upon drought stress and re-watering

Kinetics of carbon allocation in the different plant sinks (root-shoot-fruit) competing in drought stressed and rehydrated grapevines have been investigated.

Wine tannins: What place for grape seed?

Phenolic compounds are among the most important quality factors of wines. They contribute to the organoleptic characteristics of wine such as colour, astringency, and bitterness. Although tannins found in wine can come from microbial and oak sources, the main sources of polyphenols are skin and seed from grapes. Yet, the link between grape seed phenolic content and wine composition, or even the link between seed maturity stage and wine composition are poorly studied. This work describes and explains the seed tannins kinetics release in wine, but also the impact of seed maturity stage on seed tannins extractability.

Bioclimatic shifts and land use options for Viticulture in Portugal

Land use, plays a relevant role in the climatic system. It endows means for agriculture practices thus contributing to the food supply. Since climate and land are closely intertwined through multiple interface processes, climate change may lead to significant impacts in land use. In this study, 1-km observational gridded datasets are used to assess changes in the Köppen–Geiger and Worldwide Bioclimatic (WBCS)