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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Information Science

Leaves Disease and Damage Rate Classification based on Features

Permalink : http://hdl.handle.net/20.500.12678/0000007430
358c8ae3-30d4-4c8b-86f9-fdde6518f806
687e2f3e-3e8c-48f9-885d-e9c5d611ccfc
Preview
Name / File License Actions
Leaves Leaves Disease and Damage Rate Classification based on Features (IEEE-GCCE2019).pdf (312.8 kB)
sha256: 21c587066dbc51e7b228b85c25b06beb8683e3d4adc89c59243c65d864da7d3a
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Publication type Conference paper
Upload type Publication
Title
Leaves Disease and Damage Rate Classification based on Features
en
Publication date 2019-10-15
Authors
Mie Mie Tin
Mie Mie Khin
Su Su Hlaing
Phyo Phyo Wai
Khin Lay Mon
Description
This system extract disease information based on disease sympton and damage rate based on RGB color features and texture feature
Keywords
Segmentation, HSV Colour, Texture, Image, Feature
Files https://meral.edu.mm/record/7430/files/Leaves Disease and Damage Rate Classification based on Features (IEEE-GCCE2019).pdf
305 KB
Available
2021-01-13
application/pdf
185b201f-e9c5-449e-b0cf-574896cd1929
open_access
Leaves Disease and Damage Rate Classification based on Features (IEEE-GCCE2019).pdf
preview
Conference papers
IEEE GCCE 2019
2019-10-15
2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019)
Osaka, Japan
http://ieee-gcce.org/
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