USE OF DATA AUGMENTATION AND EXPLORATORY DATA ANALYSIS IN ENHANCING IMAGE FEATURES ON APPLE LEAF DISEASE DATASET
نویسندگان
چکیده
Apples are an essential commodity produced in Batu City, Malang. In 2017, Malang, 19.1 tons of apples, while 2018, 15.9 apples. It can be concluded that the decline number apple harvests With influence technology agriculture, used to detect diseases on leaves overcome decrease harvests. Image Augmentation method this study, existing dataset have 6x more features. So healthy category, which previously had 516 image features, now has 3096 scab 592 3552 features and rust 622 3732 a with 3000 model made higher accuracy value. The said sturdy/sturdy/good, or carry out classification process good level accuracy.
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ژورنال
عنوان ژورنال: Jusikom : Jurnal Sistem Informasi Ilmu Komputer
سال: 2023
ISSN: ['2580-2879']
DOI: https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3438