An Approach for Detecting Rice Leaf Disease Using Convolutional Neural Network

dc.contributor.authorHossain, Sajib
dc.contributor.authorHasan, Md. Mahabub
dc.date.accessioned2020-03-21T06:58:37Z
dc.date.available2020-03-21T06:58:37Z
dc.date.issued2019-12-05
dc.description.abstractOur 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3895
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3895
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectBrown leaf spot disease of rice
dc.subjectNeural networks
dc.titleAn Approach for Detecting Rice Leaf Disease Using Convolutional Neural Network
dc.typeOther

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