Identifikasi Penyakit Daun Akasia (Acacia Crassicarpa) menggunakan Discrete Wavelet Transform dan Backpropagation Neural Network.

Content Provider	Semantic Scholar
Author	Faqih, Miftah
Copyright Year	2017
Abstract	MIFTAH FAQIH. Identification of Acacia (Acacia crassicarpa) Leaf Diseases using Discrete Wavelet Transform and Backpropagation Neural Network. Supervised by YENI HERDIYENI. Identification of diseases in plants Acacia crassicarpa is one of the important things for PT. Arara Abadi (PT. AA) for use in pest and disease monitoring on the plant. In this case, PT. AA is still doing disease identification manually. This research build a computer-based system that can identify disease on Acacia crassicarpa plant. Identification can be done automatically with the help of this system. This research uses Discrete Wavelet Transform (DWT) method to extract the features and Backpropagation Neural Network as the method of classification. The features used are energy and entropy results from DWT decomposition. There are 3 classes of data namely leaf spot disease, line spots and healthy leaves. To get the best parameters on Backpropagation Neural Network, gridsearch method and 10-fold cross validation are used. The best model obtained accuracy value of 92.87% and from 1000 models made an average accuracy of 88.90%.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://repository.ipb.ac.id/bitstream/handle/123456789/90704/G17mfa.pdf?isAllowed=y&sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article