PerLeaf
| dc.contributor.author | Aghbar, Tamer | |
| dc.date.accessioned | 2021-10-11T08:33:28Z | |
| dc.date.available | 2021-10-11T08:33:28Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | PerLear project, aims to recognize different plants types and whether it was infected by some disease or not, give best advices and treatments to help the user to treat that plant and recommend the treatments,through computer vision and with good and reliable data about some types of plants such as grap, apple, cherry,... etc. PerLeaf is a mobile app that recognizes different plant types through the mobile camera, with connection to the backend to recognize the given input to give the appropriate information. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/16353 | |
| dc.language.iso | en | en_US |
| dc.title | PerLeaf | en_US |
| dc.type | Graduation project | en_US |
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