Abstract
Field delineation is an essential preliminary step for the design of management maps for grape production. In this paper, we propose a new algorithm for the segmentation of vine fields based on high-resolution remote sensed images. This algorithm takes into account the textural properties of vine images. It leads to the computation of a textural attribute on which a simple thresholding operation allows to discriminate between vine field and non-vine field pixels. The feasibility of the automatic delineation is illustrated on a range of vineyard images with various inter-row distances, grass covers, perspective distortions and side perturbations. In most cases it produces precise delineation of field borders while the parcel under consideration remains separate from the rest of the image.
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Acknowledgments
This work was carried out under the aegis of the Institut des Sciences de la Vigne et du Vin (ISVV) and of the Centre Interprofessionnel des Vins de Bordeaux (CIVB), with the financial support of the FEDER Interreg IIIB. We are grateful to the vine growers at Château Palmer, Château Grand Baril, Château La Tour Martillac and Château Luchey-Halde, for providing image data. Finally, we wish to thank the “Œnologie-Ampélologie” laboratory, INRA, for its technical support and Lee Valente for language correction.
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Da Costa, J.P., Michelet, F., Germain, C. et al. Delineation of vine parcels by segmentation of high resolution remote sensed images. Precision Agric 8, 95–110 (2007). https://doi.org/10.1007/s11119-007-9031-3
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DOI: https://doi.org/10.1007/s11119-007-9031-3