PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK
Wulan Dewi
wulandewi1517@gmail.comPresident University, Faculty of Computing, Information Technology, (Indonesia)
Wiranto Herry Utomo
President University, Faculty of Computing, Information Technology (Indonesia)
Abstract
The leaf is one of the plant organs, contains chlorophyll, and functions as a catcher of energy from sunlight which is used for photosynthesis. Perfect leaves are composed of three parts, namely midrib, stalk, and leaf blade. The way to identify the type of plant is to look at the shape of the leaf edges. The shape, color, and texture of a plant's leaf margins may influence its leaf veins, which in this vein morphology carry information useful for plant classification when shape, color, and texture are not noticeable. Humans, on the other hand, may fail to recognize this feature because they prefer to see plants solely based on leaf form rather than leaf margins and veins. This research uses the Wavelet method to denoise existing images in the dataset and the Convolutional Neural Network classifies through images. The results obtained using the Wavelet Convolutional Neural Network method are equal to 97.13%.
Keywords:
classification, leaf edges, leaf veins morphological, wavelet convolutional neural networkReferences
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Authors
Wulan Dewiwulandewi1517@gmail.com
President University, Faculty of Computing, Information Technology, Indonesia
Authors
Wiranto Herry UtomoPresident University, Faculty of Computing, Information Technology Indonesia
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