CarrotAge, a software for mining land-use data

Florence Le Ber Jean-François Mari 1 Marc Benoît Catherine Mignolet Céline Schott
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We have developed a knowledge discovery system based on high-order hidden Markov models for analysing spatio-temporal data bases. This system, named \carottage, takes as input an array of discrete data -- the rows represent the spatial sites and the columns the time slots -- and builds a partition together with its \aposteriori probability. \carottage has been developed for studying the cropping patterns of a territory. It uses therefore an agricultural french database, named \teruti, which records every year the land-use category of a set of sites regularly spaced. The results of \carottage are interpreted by agronomists and used in research works linking agricultural land use and water management. Moreover, \carottage can be used to find out and study crop sequencies in large territories, that is a main question for agricultural and environmental research.
Type de document :
Communication dans un congrès
Fourth International Workshop on Environmental Applications of Machine Learning - EAML'2004, 2004, Bled, Slovenia, 2 p, 2004
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https://hal.inria.fr/inria-00099884
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Soumis le : mardi 26 septembre 2006 - 10:02:53
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55
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Florence Le Ber, Jean-François Mari, Marc Benoît, Catherine Mignolet, Céline Schott. CarrotAge, a software for mining land-use data. Fourth International Workshop on Environmental Applications of Machine Learning - EAML'2004, 2004, Bled, Slovenia, 2 p, 2004. 〈inria-00099884〉

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