| dc.contributor.author | Rahman, Md. Mizanur | |
| dc.contributor.author | Khan, Akash Ahmed | |
| dc.contributor.author | Shameem, Md. Baher Uddin | |
| dc.date.accessioned | 2019-07-02T06:06:38Z | |
| dc.date.available | 2019-07-02T06:06:38Z | |
| dc.date.issued | 2018-12-11 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2626 | |
| dc.description.abstract | Beauty is incomplete without flower. Bangladesh is the land of flower. In our everyday life, On the way of walking, beside the rail line or in our garden we used to see a lot of flower. But in most case we have no knowledge about that flower. Even we don’t know its name. In that case we choose this idea to research and develop our project. That will introduce people about that unknown flower which they see but don't know about that. Our developed application recognizes the flower in real time by using mobile camera. This project is an attempt at using the concepts of neural networks to create an image classifier by Tensorflow on Android platform. Convolutional neural networks are a popular realm of machine learning, and are widely used in image classification. So that we choose this topic to research about image classification by CNN and Tensorflow. Though we developed an application of our research project but we have a lot of plan to do more research to upgrade our system. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Daffodil International University | en_US |
| dc.relation.ispartofseries | ;P11734 | |
| dc.subject | Computer Science | en_US |
| dc.subject | Android | en_US |
| dc.subject | Flower Automation | en_US |
| dc.subject | Machine Learning | en_US |
| dc.title | Flower Identification Using Machine Learning | en_US |
| dc.type | Working Paper | en_US |