A survey of the applications of text mining for agriculture
Agricultural researchers, in common with other domains, have recently began to have access to large collections of agricultural texts such as scientific papers and news stories. These texts can be analysed with text mining techniques to resolve agricultural problems or extract knowledge. Despite the potential of these techniques, text mining is a relatively underused technique in the agricultural domain. Therefore, this survey is intended to provide a current state of the art survey of the application of text mining techniques to agricultural problems.
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| Main Authors: | , |
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| Format: | article biblioteca |
| Language: | eng |
| Subjects: | U10 - Informatique, mathématiques et statistiques, C30 - Documentation et information, A50 - Recherche agronomique, fouille de données, recherche agronomique, méthode statistique, information, http://aims.fao.org/aos/agrovoc/c_eb9cea5d, http://aims.fao.org/aos/agrovoc/c_8679, http://aims.fao.org/aos/agrovoc/c_7377, http://aims.fao.org/aos/agrovoc/c_330966, |
| Online Access: | http://agritrop.cirad.fr/593037/ http://agritrop.cirad.fr/593037/1/Drury_Roche_CEA_2019.pdf |
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