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Prediction of Wheat Rust Diseases Using Data Mining Application
Author(s) -
Wesenu Mulatu,
Mebratu Fana Bedasa,
Gemechu Kena Terefa
Publication year - 2020
Publication title -
oalib
Language(s) - English
Resource type - Journals
eISSN - 2333-9721
pISSN - 2333-9705
DOI - 10.4236/oalib.1106717
Subject(s) - puccinia , rust (programming language) , stem rust , c4.5 algorithm , decision tree , stripe rust , predictive modelling , computer science , agricultural engineering , agronomy , statistics , data mining , mathematics , machine learning , engineering , biology , horticulture , support vector machine , plant disease resistance , mildew , resistance (ecology) , programming language , biochemistry , naive bayes classifier , gene

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