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Paddy Leaf Disease Recognition System
http://hdl.handle.net/20.500.12678/0000007435
http://hdl.handle.net/20.500.12678/0000007435e6c630fa-0c7a-4550-8fc9-4ce513534c33
5eabb762-2eaf-404b-b274-b1f5ce624533
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Publication type | ||||||
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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 |