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Simple Screening Method of Maize Disease using Machine Learning

Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen co...

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Main Authors:	Chyntia Jaby, Entuni, Tengku Mohd Afendi, Zulcaffle
Format:	E-Article
Language:	English
Published:	Blue Eyes Intelligence Engineering and Sciences Publication 2019
Subjects:	QA75 Electronic computers. Computer science S Agriculture (General)
Online Access:	http://ir.unimas.my/id/eprint/28774/1/A4193119119-Simple%20Screening%20Method%20of%20Maize%20Disease%20using%20Machine%20Learning.pdf http://ir.unimas.my/id/eprint/28774/ https://www.ijitee.org/
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id	my.unimas.ir.28774
record_format	eprints
spelling	my.unimas.ir.287742020-06-29T01:49:56Z http://ir.unimas.my/id/eprint/28774/ Simple Screening Method of Maize Disease using Machine Learning Chyntia Jaby, Entuni Tengku Mohd Afendi, Zulcaffle QA75 Electronic computers. Computer science S Agriculture (General) Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen countless number of plant leaves to find the stage of diseases of their crops to perform an early treatments. Therefore, a robust method for field screening is needed in order to spare the farmers and the environment as well. Inappropriate used of treatments such as impulsive pesticides can imperil the environment. Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. Therefore, it is applicable to detect disease spot in plant leaf and measure the diseases severity. This field screening method help the farmer to identify the progression of the diseases in their crops quicker and easier than the other field screening techniques. Blue Eyes Intelligence Engineering and Sciences Publication 2019-11-10 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/28774/1/A4193119119-Simple%20Screening%20Method%20of%20Maize%20Disease%20using%20Machine%20Learning.pdf Chyntia Jaby, Entuni and Tengku Mohd Afendi, Zulcaffle (2019) Simple Screening Method of Maize Disease using Machine Learning. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9 (1). pp. 464-467. ISSN 2278-3075 https://www.ijitee.org/ 10.35940/ijitee.A4193.119119
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	QA75 Electronic computers. Computer science S Agriculture (General)
spellingShingle	QA75 Electronic computers. Computer science S Agriculture (General) Chyntia Jaby, Entuni Tengku Mohd Afendi, Zulcaffle Simple Screening Method of Maize Disease using Machine Learning
description	Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen countless number of plant leaves to find the stage of diseases of their crops to perform an early treatments. Therefore, a robust method for field screening is needed in order to spare the farmers and the environment as well. Inappropriate used of treatments such as impulsive pesticides can imperil the environment. Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. Therefore, it is applicable to detect disease spot in plant leaf and measure the diseases severity. This field screening method help the farmer to identify the progression of the diseases in their crops quicker and easier than the other field screening techniques.
format	E-Article
author	Chyntia Jaby, Entuni Tengku Mohd Afendi, Zulcaffle
author_facet	Chyntia Jaby, Entuni Tengku Mohd Afendi, Zulcaffle
author_sort	Chyntia Jaby, Entuni
title	Simple Screening Method of Maize Disease using Machine Learning
title_short	Simple Screening Method of Maize Disease using Machine Learning
title_full	Simple Screening Method of Maize Disease using Machine Learning
title_fullStr	Simple Screening Method of Maize Disease using Machine Learning
title_full_unstemmed	Simple Screening Method of Maize Disease using Machine Learning
title_sort	simple screening method of maize disease using machine learning
publisher	Blue Eyes Intelligence Engineering and Sciences Publication
publishDate	2019
url	http://ir.unimas.my/id/eprint/28774/1/A4193119119-Simple%20Screening%20Method%20of%20Maize%20Disease%20using%20Machine%20Learning.pdf http://ir.unimas.my/id/eprint/28774/ https://www.ijitee.org/
_version_	1671343301442142208
score	13.211869

Simple Screening Method of Maize Disease using Machine Learning

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