[April 2005]

Combination of heterogeneous data sets in Precision Viticulture

A publication from J-N. Paoli, B. Tisseyre, O. Strauss, J-M. Roger, S. Guillaume
Agricultural Engineering university, 2 place Viala, 34070 Montpellier Cedex 1
LIRMM, 161 Rue Ada, 34392 Montpellier Cedex 5
Cemagref, 361 rue Breton, 34033 Montpellier Cedex 1

Abstract

This paper deals with the combination of Precision Viticulture data. It proposes a method to treat qualitative and quantitative data sets according to the same formalism, and to take into account their inaccuracies. The originality of our approach lies in the use of uncertainty theories (fuzzy sets, possibility theory, Choquet integral). Its efficiency is shown by the treatment of a Precision Viticulture data set for a field diagnostic.

Keywords: data aggregation, fuzzy logic, viticulture.

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An article by Doctor J-N PAOLI,
Head of project Cartography, SFERIS

contact : jean_noel.paoli@sferis.com