PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK

Wulan  Dewi; Wiranto Herry Utomo

doi:10.35784/acs-2021-08

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Published: Mar 30, 2021

DOI: https://doi.org/10.35784/acs-2021-08

DOI

https://doi.org/10.35784/acs-2021-08

Authors

Wulan Dewi

wulandewi1517@gmail.com

President University, Faculty of Computing, Information Technology,

Wiranto Herry Utomo

wiranto.herry@president.ac.id

President University, Faculty of Computing, Information Technology

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 network

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Dewi, W. ., & Utomo, W. H. (2021). PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK. Applied Computer Science, 17(1), 81–89. https://doi.org/10.35784/acs-2021-08

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