Studying crop sequences with CarrotAge, a HMM-based data mining software
| Autor: | Catherine Mignolet, F. Le Ber, Jean-François Mari, Marc Benoit, Céline Schott |
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| Přispěvatelé: | Centre d'Ecologie Végétale et d'Hydrologie (CEVH), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université Louis Pasteur - Strasbourg I, Knowledge representation, reasonning (ORPAILLEUR), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Lorraine (INPL)-Université Nancy 2-Université Henri Poincaré - Nancy 1 (UHP), Unité expérimentale SAD - Station de Mirecourt (MIRECOURT), Institut National de la Recherche Agronomique (INRA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Unité expérimentale SAD - Station de Mirecourt (INRA SAD) |
| Rok vydání: | 2006 |
| Předmět: |
[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]
010504 meteorology & atmospheric sciences Computer science computer.software_genre 01 natural sciences [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Set (abstract data type) Software Knowledge extraction Agricultural land Hidden Markov models Hidden Markov model Data mining 0105 earth and related environmental sciences 2. Zero hunger Land use business.industry Ecological Modeling 04 agricultural and veterinary sciences 15. Life on land Partition (database) Crop sequences 040103 agronomy & agriculture 0401 agriculture forestry and fisheries business computer Row |
| Zdroj: | Ecological Modelling Ecological Modelling, Elsevier, 2006, 191 (1), pp.170--185. ⟨10.1016/j.ecolmodel.2005.08.031⟩ Ecological Modelling, Elsevier, 2006, 191, pp.170--185. ⟨10.1016/j.ecolmodel.2005.08.031⟩ Ecological Modelling, 2006, 191 (1), pp.170--185. ⟨10.1016/j.ecolmodel.2005.08.031⟩ |
| ISSN: | 0304-3800 |
| DOI: | 10.1016/j.ecolmodel.2005.08.031 |
| Popis: | We have developed a knowledge discovery system based on high-order hidden Markov models for analyzing spatio-temporal data bases. This system, named CarrotAge , 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 a posteriori probability. CarrotAge has been developed for studying the cropping patterns of a territory. It uses therefore an agricultural drench database, named Ter-Uti , which records every year the land-use category of a set of sites regularly spaced. The results of CarrotAge are interpreted by agronomists and used in research works linking agricultural land use and water management. Moreover, CarrotAge can be used to find out and study crop sequences in large territories, that is a main question for agricultural and environmental research, as discussed in this paper. |
| Databáze: | OpenAIRE |
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