Edge Detection Of Potato Leaf Damage With Laplacian Of Gaussian Algorithm

Authors

  • Mawaddah Harahap Universitas Prima Indonesia, Indonesia
  • Adrian Christian Wijaya Universitas Prima Indonesia, Indonesia
  • Samuel Henock Hasangapon Pasaribu Universitas Prima Indonesia, Indonesia
  • Giovan Sembiring Universitas Prima Indonesia, Indonesia
  • Kenjiro Christian Ginting Universitas Prima Indonesia, Indonesia

DOI:

10.33395/sinkron.v7i3.11583

Abstract

The Potato plants are type young plant that easily attacked by pests and diseases, part of plant that often attacked by disease is leaves which can affect growth process and reduce crop yields. One way to determine if potato leaf is healthy or unhealthy is by using the edge detection method. Crop failure in potato plants can be detected through damage to leaves. The purpose of this study was to help facilitate identification type of damage to leaf margins of potato plants by applying the Laplacian of Gaussian algorithm. Based on results of testing on several research datasets sourced from the Agricultural Sector of the Karo Regency Government through an application of edge image detection on potato plant leaves through a grayscale, threshold and detection process with the Laplacian of Gaussian algorithm. It takes the longest time of 12.34 s with an error of 1.45 on the type of damage caused by aphids and at least 6.03 s with an error of 0.71 on the normal leaf edge detection results. Based on test results on 17 potato leaf images, the average test time is 8.45 s

 

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How to Cite

Harahap, M., Wijaya, A. C. ., Pasaribu, S. H. H. ., Sembiring, G. ., & Ginting, K. C. . (2022). Edge Detection Of Potato Leaf Damage With Laplacian Of Gaussian Algorithm. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(3), 1054-1058. https://doi.org/10.33395/sinkron.v7i3.11583

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