Article
An improved moth flame optimization algorithm based on rough sets for tomato diseases detection
2017-04-01
Abstract excerpt
Plant diseases is one of the major bottlenecks in agricultural production that have bad effects on the economic of any country. Automatic detection of such disease could minimize these effects. Features selection is a usual pre-processing step used for automatic disease detection systems. It is an important process for detecting and eliminating noisy, irrelevant, and redundant data. Thus, it could lead to improve...
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Identifiers and source
- Literature Corpus work
- 6654a992-dc06-5363-ad95-16ec3c41cf38
- DOI
- 10.1016/j.compag.2017.02.026
