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description Journal article public Jurnal Ilmu Komputer dan Informasi

Detection of Disease on Corn Plants Using Convolutional Neural Network Methods

Ardi Hidayat, Ucuk Darusalam, Irmawati Irmawati
Diterbitkan 2019

Abstrak

Deep Learning is still an interesting issue and is still widely studied. In this study Deep Learning was used for the diagnosis of corn plant disease using the Convolutional Neural Network (CNN) method, with a total dataset of 3.854 images of diseases in corn plants, which consisted of three types of corn diseases namely Common Rust, Gray Leaf Spot, and Northern Leaf Blight. With an accuracy of 99%, in detecting disease in corn plants.

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  • visibility 58 kali dilihat
  • get_app 16 downloads