DSpace Repository

Fruit Disease Detector

Show simple item record

dc.contributor.author Sakib, Md. Sohanur Rahman
dc.contributor.author Kathika, Fariha Hasan
dc.date.accessioned 2020-08-08T06:06:26Z
dc.date.available 2020-08-08T06:06:26Z
dc.date.issued 2019-12
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4112
dc.description.abstract Bangladesh is a developing country as well as productive also. We have a large amount of tropical fruit. Our most cultivated fruits are mango, banana, apple, orange, jackfruit, etc. But the fact is that the lack of technology, farmers are unable to find out the damages and causes of fruit properly. Sometimes, unknown about the percentages of specific fruit that are causing other fruit damage. For example, if a mango is affected by bacteria then this is harmful to other mangoes. Because other mangoes can be affected by the same bacteria. That’s why uncertainty farmers have to count a huge amount of loss. We take an initiative to help the farmers as far we can. In this app, we have developed an image processing concept. Our application is based on the Android phones. The app will store two types of fruit. One is the fresh fruit section and another is the damage fruit section. After picking the fresh fruit and damage fruit the comparison is started. By this process, the damaged area is detected. For making awareness of farmer we have added a percentage of the damaged area. As a result, he can predict his farming quality and apply the criteria for decreasing the damage. So all on average this application can make a good impact for the farmer In Sha Allah. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P15423
dc.subject Disease en_US
dc.subject Fruit disease en_US
dc.title Fruit Disease Detector en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account

Statistics