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Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset

Interim Semester 2020/2021

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Main Author: Ain Nadia Alin binti Mohd Azeman
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Language:English
Published: 2023
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Neural Network
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spelling my.uniten.dspace-213082023-05-04T15:59:23Z Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset Ain Nadia Alin binti Mohd Azeman Neural Network Interim Semester 2020/2021 Paddy farmers experience a big loss in terms of time, energy, and cost when they experienced food spoilage. During harvesting, they discovered that the paddy they planted turns out to be defective due to diseases. Their wasted time energy and money could have been prevented if they could foresee these paddy diseases. Hence, Artificial Intelligence is introduced to help them reduce their losses. There are three types of paddy diseases detected in this project, they are the Bacterial Leaf Bight, Brown Spot Disease, and the Leaf Blast Disease. The aim was to train an AI model that could produce a minimum of 20% mean average precision (mAP) value and to create a parameter that can be applied to the datasets to obtain consistent results. There were four models trained and observed. The model that obtained the highest mAP value of 0.2222 was the faster RCNN Mobilenet v2, however, it also took the longest to complete the training. There were three datasets used to test the parameter that could be applied to obtain consistent results. It was observed that dataset B (contains only augmented images) achieved the highest mAP value of 0.2061 or roughly 21% when trained using the SSD Mobilenet v1 model. 2023-05-03T16:31:45Z 2023-05-03T16:31:45Z 2020-09 https://irepository.uniten.edu.my/handle/123456789/21308 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Neural Network
spellingShingle Neural Network
Ain Nadia Alin binti Mohd Azeman
Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
description Interim Semester 2020/2021
format
author Ain Nadia Alin binti Mohd Azeman
author_facet Ain Nadia Alin binti Mohd Azeman
author_sort Ain Nadia Alin binti Mohd Azeman
title Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
title_short Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
title_full Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
title_fullStr Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
title_full_unstemmed Comparison of Convolutional Neural Network Performance Against Deep Learning Architectecture With Diseased Paddy Dataset
title_sort comparison of convolutional neural network performance against deep learning architectecture with diseased paddy dataset
publishDate 2023
_version_ 1806424555807309824
score 13.214268

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