An Approach for Detecting Rice Leaf Disease Using Convolutional Neural Network

dc.contributor.author	Hossain, Sajib
dc.contributor.author	Hasan, Md. Mahabub
dc.date.accessioned	2020-03-21T06:58:37Z
dc.date.available	2020-03-21T06:58:37Z
dc.date.issued	2019-12-05
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3895
dc.description.abstract	Our Agriculture is mainly based on rice. Almost 75% of our agricultural land is covered by rice field. 28% of GPD comes from rice. Rice production is being increased every year. But due to leaf disease our farmers are losing huge amount of profit. So, we have decided to find an easy solution where farmers can detect the diseases and get proper help. We have collected three types of diseases demo and build a dataset. Farmers will get help via Facebook messenger and our dedicated android app. They will simply capture the photo and received help.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	Brown leaf spot disease of rice	en_US
dc.subject	Neural networks	en_US
dc.title	An Approach for Detecting Rice Leaf Disease Using Convolutional Neural Network	en_US
dc.type	Other	en_US