A survey of the applications of text mining for agriculture

Drury Brett, Roche Mathieu. 2019. A survey of the applications of text mining for agriculture. Computers and Electronics in Agriculture, 163:104864, 13 p.

https://doi.org/10.1016/j.compag.2019.104864

Article de revue ; Article de synthèse ; Article de revue à facteur d'impact

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Quartile : Outlier, Sujet : AGRICULTURE, MULTIDISCIPLINARY / Quartile : Q1, Sujet : COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Résumé : 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.

Mots-clés Agrovoc : fouille de données, recherche agronomique, méthode statistique, information

Mots-clés libres : Text mining, Natural language processing, Information retrieval, Digital agriculture

Classification Agris : U10 - Informatique, mathématiques et statistiques
C30 - Documentation et information
A50 - Recherche agronomique

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

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