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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.
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https://hal.inria.fr/inria-00099884
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Submitted on : Tuesday, September 26, 2006 - 10:02:53 AM
Last modification on : Wednesday, August 12, 2020 - 3:04:10 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 12:51:22 PM

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  • HAL Id : inria-00099884, version 1

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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. ⟨inria-00099884⟩

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