International Journal of Engineering, Technology and Natural Sciences (IJETS)
Vol 5 No 2 (2023): International Journal of Engineering, Technology and Natural Sciences

Deep Convolution Neural Network to solve Problems for Appel Leaf Disease Detection

Sutriawan (Universitas Muhammadiyah Bima)
Ahmad Zaniul Fanani (Dian Nuswantoro University, Semarang, Indonesia)
Farrikh Alzami (Dian Nuswantoro University, Semarang, Indonesia)
Ruri Suko Basuki (Dian Nuswantoro University, Semarang, Indonesia)

Article Info

Publish Date
30 Dec 2023

Abstract

Orchardists are now concerned about apple leaf infections since they could result in crop failure. It is challenging for growers to identify the type of illness on apple leaves due to the large variety of diseases that can affect apple leaves. In this study, we cover four different illness categories: healthy, numerous diseased, rusty, and scabby. a deep convolutional neural network method of processing. using a number of suggested methods, including data preprocessing and the pre-configured VGG-16 deep convolutional neural network (CNN) architecture. The Adam optimization model's beta 2 = 0.999 parameter value at Ephoch to 85/100 with an accuracy of 0.7582 and epsilon = 1e-07 parameter value at Ephoch to 32/100 with an accuracy of 0.7582 both produced the best accuracy outcomes.

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Journal Info
International Journal of Engineering, Technology and Natural Sciences (IJETS)
Website

Abbrev

IJETS

Publisher

Universitas Teknologi Yogyakarta

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

Journal IJETS concern in publishing the original research articles, review articles from contributors, and the current issues related to engineering, technology and natural sciences. The main objective of IJETS is to provide a platform for the international scholars, academicians and ...