Jurnal SPEKTRUM
Vol 8 No 2 (2021): Jurnal SPEKTRUM

RANCANG BANGUN APLIKASI IDENTIFIKASI PENYAKIT TANAMAN PEPAYA CALIFORNIA BERBASIS ANDROID MENGGUNAKAN METODE CNN MODEL ARSITEKTUR SQUEEZENET

Ferry Angga Irawan (Unknown)
Made Sudarma (Unknown)
Duman Care Khrisne (Unknown)

Article Info

Publish Date
11 Jul 2021

Abstract

The problem that often occurs in the Agricultural Experimental Garden of UdayanaUniversity, especially in the field of agricultural crops in holticulture is about plant diseases, thiscauses a decrease in production results, so the need for early diagnosis of diseases of plants.The study focused on California papaya plants. Diseases of this plant often appear on theleaves and fruits. With advances in technology in the field of image processing can helpproblems that occur in the field of agriculture. In this study build an Android application withCNN (Convolutional Neural Network) method using SqueezeNet architecture. Classifyingdiseases in this plant are Anthracnose, and Ringspot Viruse, as well as classifying healthypapaya. Based on the validation results, the application built using CNN method andSqueezeNet Architecture, can recognize Anthracnose disease, Ringspot Viruse and Papayahealthy through leaves with accuracy of 97% while through fruit accuracy reaches 70%.

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Journal Info
Jurnal SPEKTRUM
Website

Abbrev

spektrum

Publisher

Universitas Udayana

Subject

Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

Description

Jurnal SPEKTRUM is peer review journal, published four times a year by the Department of Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include: power systems, ...