H2O ALGORITHM FOR JATROPHA CURCAS DISEASE IDENTIFICATION WITH FEATURE SELECTION USING GENETIC ALGORITHM
نویسندگان
چکیده
Jatropha curcas is a plant that can be used as substitute for diesel fuel. Lack of knowledge farmers and the limited number experts extension agents into problem dealing with disease which resulted in lower quality curcas. H2O Algorithm Curcas identification. Based on previous research, gave 96.066%. In this we Genetic to do feature selection. algorithm selection average accuracy 97.03%, means were better than without The parameters got are populations 600, crossover rate 0.8 mutation 0.2, iterations 400. However, time spent using so longer
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ژورنال
عنوان ژورنال: Jurnal teknik: ilmu dan aplikasi
سال: 2023
ISSN: ['2460-5549']
DOI: https://doi.org/10.33795/jtia.v4i1.2788