SATYA, NICHOLAS AUDREY (2023) POTATO AND TOMATO DISEASES DETECTION USING CONVOLUTIONAL NEURAL NETWORK. Other thesis, Universitas Katholik Soegijapranata Semarang.
![[img]](http://repository.unika.ac.id/style/images/fileicons/text.png) |
Text
18.K1.0069-NICHOLAS AUDREY SATYA-COVER_a.pdf Download (405kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB I_a.pdf Download (118kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB II_a.pdf Restricted to Registered users only Download (126kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB III_a.pdf Download (407kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB IV_a.pdf Download (218kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB V_a.pdf Download (831kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-BAB VI_a.pdf Download (113kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-DAPUS_a.pdf Download (175kB) |
|
Text
18.K1.0069-NICHOLAS AUDREY SATYA-LAMP_a.pdf Download (304kB) |
Abstract
Potatoes and tomatoes are important raw materials used by humans in everyday life. In managing the two plants, they certainly experience obstacles, including diseases that attack potato leaves and tomatoes which if left unchecked will produce production a bad one or even a crop failure. Late blight and early blight are frequent diseases found on potato leaves and tomatoes. By utilizing technology, namely in the form of digital image processing, this can be overcome, so in this study will propose appropriate methods of detecting diseases of potato leaves and tomatoes. Classification will be done with three classes in the form of healthy leaves, early blight, and late blight using the Deep Learning method uses a Convolutional Neural Network (CNN) architecture. In this research, it will be detected which leaves are healthy and which leaves have diseases by looking at the accuracy produced in the program that has been designed.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 05 Apr 2023 01:24 |
| Last Modified: | 05 Apr 2023 01:24 |
| URI: | http://repository.unika.ac.id/id/eprint/31404 |
Actions (login required)
 |
View Item |
