A survey of the applications of text mining for agriculture

•In depth survey of the current state of the art text mining techniques applied to agriculture.•Criticism of the limitations of the current state of the art.•Suggestions for the advancement of the field. Agricultural researchers, in common with other domains, have recently began to have access to la...

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Bibliographic Details
Published in:Computers and electronics in agriculture 2019-08, Vol.163, p.104864, Article 104864
Main Authors: Drury, Brett, Roche, Mathieu
Format: Article
Language:English
Subjects:
Agricultural practices
Agriculture
Computer Science
Document and Text Processing
Domains
End users
Environmental scanning
Environmental Sciences
Information extraction
Information retrieval
Scientific papers
Sentiment analysis
Survey
Text mining
Texts
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Summary:•In depth survey of the current state of the art text mining techniques applied to agriculture.•Criticism of the limitations of the current state of the art.•Suggestions for the advancement of the field. 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.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2019.104864