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…

Unexpected relationships between δ13C, water deficit, and wine grape performance

Water nutrition is crucial for wine grape performance. Thus soil investigation aims at characterizing spatial and temporal variability of available water. A possible strategy

High-power ultrasound for improving chromatic characteristics in wines. Does a varietal effect exist?

The use of high-power ultrasound (US) during the winemaking process has been extensively studied at laboratory scale in order to demonstrate its possible use to improve the extraction of compounds of interest. However, studies on semi-industrial and industrial scale are needed to confirm this positive effect, since the International Organization of Vine and Wine approved its industrial use in 2019 [1].

Brettanomyces bruxellensis and off-odours: genetic and proteomic approaches to unravel the molecular mechanism of ethyl-phenols production

Brettanomyces/Dekkera yeasts in wine are able to produce various spoilage compounds that are, at high concentration, detrimental to wine quality. The principal spoiler compounds associated with Brettanomyces spp. are vinyl and ethyl-phenols that are responsible for off- odours described as “animal”, “medicinal”, “sweaty leather”, “barnyard”, “spicy” and “clove-like”.

Regionality in Australian Pinot Noir wines: A study using NMR and ICP-MS with commercial wines

Aim: Wine quality and character are defined in part by the terroir in which the grapes are grown. Metabolomic techniques, such as nuclear magnetic resonance (NMR) spectroscopy and inductively coupled plasma mass spectrometry (ICP-MS), are used to characterise wines and to detect wine fraud in other countries but have not been extensively trialled in Australia. This study aimed to investigate the use of ICP-MS and NMR to characterise a selection of Pinot noir wines.

Discrimination of monovarietal Italian red wines using derivative voltammetry

Identification of specific analytical fingerprints associated to grape variety, origin, or vintage is of great interest for wine producers, regulatory agencies, and consumers. However, assessing such varietal fingerprint is complex, time consuming, and requires expensive analytical techniques. Voltammetry is a fast, cheap, and user-friendly analytical tool that has been used to investigate and measure wine phenolics.