Publication:
Image processing techniques for harumanis disease severity and weighting estimation for automatic grading system application

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cris.author.scopus-author-id 57211391691
cris.author.scopus-author-id 26029734700
cris.author.scopus-author-id 57214325384
cris.author.scopus-author-id 57205307496
cris.author.scopus-author-id 57202506724
cris.author.scopus-author-id 57201519861
cris.author.scopus-author-id 57008126300
dc.contributor.author Khalid N.S.
dc.contributor.author Abdullah A.H.
dc.contributor.author Shukor S.A.A.
dc.contributor.author Fathinul Syahir A.S.
dc.contributor.author Chau S.C.
dc.contributor.author Dalila N.D.N.
dc.contributor.author Mansor H.
dc.date.accessioned 2025-01-13T06:56:56Z
dc.date.available 2025-01-13T06:56:56Z
dc.date.issued 2018-01-01
dc.description.abstract Harumanis Mango is known as the king of Mangoes. It is very nutritious and rich with carotenes. However, many of the farmers and agriculture experts reported that they have problems in grading and inspecting the Harumanis Mango. Sometimes, Mango production loses its quality due to diseases that are not even visible to the naked eyes. Traditionally, farmers and agriculture experts will estimate the severity of the disease using their experiences. While for weight estimation, manual inspection was done by using a weight scale. This traditional method has its own drawbacks as it can lead to some errors due to inconsistencies made by human inspection. Furthermore, they are less efficient and very time-consuming. Therefore, an automated procedure that able to classify the disease severities and weight estimations would be much appreciated. With the aid of image processing techniques, diseases can be classified according to its scale, and its weight can be estimated. A number of pixels of Harumanis Mango will be used for classification. The analysis will be done by using the statistical method of regression. It shows that the accuracy of weight estimation is 72.25%.
dc.identifier.scopus 2-s2.0-85048533300
dc.identifier.uri https://hdl.handle.net/20.500.14170/11511
dc.relation.grantno undefined
dc.relation.ispartof Journal of Telecommunication, Electronic and Computer Engineering
dc.relation.ispartofseries Journal of Telecommunication, Electronic and Computer Engineering
dc.relation.issn 21801843
dc.subject Disease Severity | Harumanis | Image Processing | Weight Estimation
dc.title Image processing techniques for harumanis disease severity and weighting estimation for automatic grading system application
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 93
oaire.citation.issue 1-15
oaire.citation.startPage 89
oaire.citation.volume 10
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Institut Penyelidikan dan Kemajuan Pertanian Malaysia
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
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person.identifier.scopus-author-id 57211391691
person.identifier.scopus-author-id 26029734700
person.identifier.scopus-author-id 57214325384
person.identifier.scopus-author-id 57205307496
person.identifier.scopus-author-id 57202506724
person.identifier.scopus-author-id 57201519861
person.identifier.scopus-author-id 57008126300
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