Agritrop
Home

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.

Journal article ; Article de synthèse ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.
Drury_Roche_CEA_2019.pdf

Télécharger (1MB) | Request a copy

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

Abstract : 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 - Computer science, mathematics and statistics
C30 - Documentation and information
A50 - Agricultural research

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

Auteurs et affiliations

Source : Cirad-Agritrop (https://agritrop.cirad.fr/593037/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-05-01 ]