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Plant disease classification system using deep learning

In agriculture production, the unlimited and no disease plant product from farming become important things due this product is necessities in terms foods and mainly source for highly nutrient to community regardless country in the world. However, an increase in the human population requires an incre...

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Main Author:	Mohd Azizul Asmad Latip
Format:	Academic Exercise
Language:	English English
Published:	2022
Subjects:	Q1-390 Science (General) S1-(972) Agriculture (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/33302/1/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.24pages.pdf https://eprints.ums.edu.my/id/eprint/33302/2/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.pdf https://eprints.ums.edu.my/id/eprint/33302/
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spelling	my.ums.eprints.333022022-07-18T11:35:36Z https://eprints.ums.edu.my/id/eprint/33302/ Plant disease classification system using deep learning Mohd Azizul Asmad Latip Q1-390 Science (General) S1-(972) Agriculture (General) In agriculture production, the unlimited and no disease plant product from farming become important things due this product is necessities in terms foods and mainly source for highly nutrient to community regardless country in the world. However, an increase in the human population requires an increase in agricultural production. Generally, the most important thing in agriculture that affects the quantity and quality of crops is plant diseases and make crop disease become a major threat to food security. In general, a farmer knows that his plant is attacked by a disease through direct vision. But, this process is sometimes inaccurate. Plant diseases are not only a threat to food security at the global scale, but can also have disastrous consequences for smallholder farmers whose livelihoods depend on healthy crops. With the development of machine learning technology, plant disease classification can be done automatically using deep learning. In deep learning, a convolutional neural network (CNN) is a class of deep neural networks, most commonly applied to analysing visual imaginary. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on the shared-weight architecture of the convolution kernels that scan the hidden layers and translation invariance characteristics. 2022 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/33302/1/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.24pages.pdf text en https://eprints.ums.edu.my/id/eprint/33302/2/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.pdf Mohd Azizul Asmad Latip (2022) Plant disease classification system using deep learning. Universiti Malaysia Sabah. (Unpublished)
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English English
topic	Q1-390 Science (General) S1-(972) Agriculture (General)
spellingShingle	Q1-390 Science (General) S1-(972) Agriculture (General) Mohd Azizul Asmad Latip Plant disease classification system using deep learning
description	In agriculture production, the unlimited and no disease plant product from farming become important things due this product is necessities in terms foods and mainly source for highly nutrient to community regardless country in the world. However, an increase in the human population requires an increase in agricultural production. Generally, the most important thing in agriculture that affects the quantity and quality of crops is plant diseases and make crop disease become a major threat to food security. In general, a farmer knows that his plant is attacked by a disease through direct vision. But, this process is sometimes inaccurate. Plant diseases are not only a threat to food security at the global scale, but can also have disastrous consequences for smallholder farmers whose livelihoods depend on healthy crops. With the development of machine learning technology, plant disease classification can be done automatically using deep learning. In deep learning, a convolutional neural network (CNN) is a class of deep neural networks, most commonly applied to analysing visual imaginary. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on the shared-weight architecture of the convolution kernels that scan the hidden layers and translation invariance characteristics.
format	Academic Exercise
author	Mohd Azizul Asmad Latip
author_facet	Mohd Azizul Asmad Latip
author_sort	Mohd Azizul Asmad Latip
title	Plant disease classification system using deep learning
title_short	Plant disease classification system using deep learning
title_full	Plant disease classification system using deep learning
title_fullStr	Plant disease classification system using deep learning
title_full_unstemmed	Plant disease classification system using deep learning
title_sort	plant disease classification system using deep learning
publishDate	2022
url	https://eprints.ums.edu.my/id/eprint/33302/1/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.24pages.pdf https://eprints.ums.edu.my/id/eprint/33302/2/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.pdf https://eprints.ums.edu.my/id/eprint/33302/
_version_	1760231145667035136
score	13.211869

Plant disease classification system using deep learning

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