{"created":"2020-09-01T12:30:52.288538+00:00","id":3445,"links":{},"metadata":{"_buckets":{"deposit":"78379d43-f54e-4ec4-a201-cacad4e6126f"},"_deposit":{"id":"3445","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3445"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3445","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Classification of Peanut Leaves Disease using Back Propagation Neural Network","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"A number of classification systems have been developed depending on the intended purpose of the system. This system tries to classify peanut leaves diseases.. The images of the peanut leaf are acquired by means of an digital imaging device, such as a scanner. The acquired color image is prepared with Image processing steps in order to get the digital image to be suitable with Neural Network. Back-Propagation Algorithm is used to train the Network in order to classify the peanut leaves diseases. In this system, there are many different types of peanut leaves diseases namely Early and Late Leaf spot, Rust, Web blotch, Leaf scorch, Alternaria Leaf spot, Phyllosticta Leaf spot, Peanut Mottle virus, Tomato Spotted wilt virus, Iron Chlorosis,and Ultraviolet radiation."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Peanut Leaves Disease"},{"interim":"Back- Propagation Algorithm"},{"interim":"Artificial Neural Network"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-23"}],"displaytype":"preview","filename":"psc2010paper (239).pdf","filesize":[{"value":"532 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3445/files/psc2010paper (239).pdf"},"version_id":"d3b3b2f1-6b89-438d-832e-4bb417d95e50"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fifth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Maw, Naw Aye Aye"},{"subitem_authors_fullname":"Htay, Sandar"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2010-12-16"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1194"},"item_title":"Classification of Peanut Leaves Disease using Back Propagation Neural Network","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-23","publish_status":"0","recid":"3445","relation_version_is_last":true,"title":["Classification of Peanut Leaves Disease using Back Propagation Neural Network"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T06:08:55.763477+00:00"}