Rapid Identification of Tobacco Mildew Based on Random Forest Algorithm
نویسندگان
چکیده
In order to further improve the identification efficiency of tobacco mildew, a rapid model mildew based on random forest algorithm was proposed in this study. ensure feasibility and pertinence study, study takes redried leaf as research object, selects high-temperature high-humidity environment experimental conditions, obtains sample data degree under different conditions. At same time, paper constructs with help algorithm. Through results, it is found that accuracy for training samples can reach 93.82%, while independent testing 94.84%. The results fully reflect availability mildew.
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ژورنال
عنوان ژورنال: Scientific Programming
سال: 2022
ISSN: ['1058-9244', '1875-919X']
DOI: https://doi.org/10.1155/2022/1818398