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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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Literature Corpus work
6654a992-dc06-5363-ad95-16ec3c41cf38
DOI
10.1016/j.compag.2017.02.026
Open publication

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An improved moth flame optimization algorithm based on rough sets for tomato diseases detectionDOI 10.1016/j.compag.2017.02.026
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