Plant classification based on leaf edges and leaf morphological veins using wavelet convolutional neural network

• Autorzy: Dewi Wulan , Utomo Wiranto Herry

Identyfikatory

DOI

10.23743/acs-2021-08

• Języki publikacji: EN

Abstrakty

EN

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%.

Słowa kluczowe

EN

classification; leaf edges; leaf veins morphological; wavelet convolutional neural network

PL

klasyfikacja; brzegi liści; budowa morfologiczna liści; splotowa sieć neuronowa

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2021
• Tom: Vol. 17, no 1
• Strony: 81--89
• Opis fizyczny: Bibliogr. 30 poz., fig. tab.

Twórcy

autor

Dewi Wulan

• President University, Faculty of Computing, Information Technology

• https://orcid.org/0000-0002-1832-8034

autor

Utomo Wiranto Herry

• President University, Faculty of Computing, Information Technology

• https://orcid.org/0000-0002-9291-5819

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).