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

Paddy Leaf Disease Recognition System

http://hdl.handle.net/20.500.12678/0000007435
http://hdl.handle.net/20.500.12678/0000007435
e6c630fa-0c7a-4550-8fc9-4ce513534c33
5eabb762-2eaf-404b-b274-b1f5ce624533
None
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PADDY PADDY LEAF DISEASE RECOGNITION SYSTEM (IEEE-MTU).pdf (411 KB)
Publication type
Conference paper
Upload type
Publication
Title
Title Paddy Leaf Disease Recognition System
Language en
Publication date 2019-09-16
Authors
Nan Yu Hlaing
Mie Mie Tin
Description
Paddy disease can be detected with image processing techniques and prediction can be enhance using K-mean clustering algorithm by identifying different kinds of cluster and capturing infected area of the paddy leaf. This system can provide some advice to the farmers, can solve the problems and to recover from these diseases.
Keywords
K-mean clustering, image processing, disease
Identifier www.mtu.edu.mm
Conference papers
ICSTIM
2019-09-16
The Second International Conference on Science, Technology and Innovation, Mandalay, 2019
Mandalay Technology University, Mandalay
www.mtu.edu.mm
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