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IVES 9 IVES Conference Series 9 Outline for the définition of “Terroirs Viticoles application to the area of El AIjarafe (Seville, Spain)

Outline for the définition of “Terroirs Viticoles application to the area of El AIjarafe (Seville, Spain)

Abstract

The grapes producing and wine making regions are différent in their use of agricultural, industrial or agroindustrial means. These means are quite often very original and/or specialised; and lately are also quite competitive. Such means are being defined with increased accuracy in the delimitation and definition of its characteristics (Paneque et al., 1996 a). Human action together with other Elements and Agents involved in the vine growing production (Reyner, 1989) over these means lead to agronomic systems with important characteristics. Finally, the transformation of the vine growing production, through different technologies (Fleet, 1992), results in the creation of products with a different acceptance and economical value in the market. In order to provide a method for the characterisation and definition of those factors taking part in vine growing and wine making, we offer a system of characterisation for the vine growing areas, their production and the products resulting from it.

DOI:

Publication date: March 25, 2022

Type: Poster

Issue: Terroir 1996

Authors

P. PANEQUE, G. PANEQUE, M.L. MATO

Laboratorio de Edafología y Química Agrícola. Departmento de Cristalografía, Mineralogía y Química Agrícola. Facultad de Química. Universidad de Sevilla

Tags

IVES Conference Series | Terroir 1996

Citation

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Cohen, Y., Gogumalla, P., Bahat, I., Netzer, Y., Ben-Gal, A., Lenski, I., … Helman, D. (2019). Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? In Precision agriculture ’19, The Netherlands: Wageningen Academic Publishers, pp. 445–451.
Laroche-Pinel, E., Duthoit, S., Albughdadi, M., Costard, A. D., Rousseau, J., Chéret, V., & Clenet, H. (2021). Towards vine water status monitoring on a large scale using sentinel-2 images. remote sensing, 13(9), 1837.
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