{"_buckets": {"deposit": "669b63d9-0b03-400c-a94c-d3cfdae2d6f9"}, "_deposit": {"created_by": 45, "id": "5411", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5411"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5411", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Estimating Body Condition Score of Cows from Images with the Newly Developed Approach", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The Body Condition Score (BCS) is the level of\nenergy reserves in many species, including dairy cattle. For the\nexact management on dairy farms, the judgment process of BCS\nis critically important. In this study, the implementation of\nnewly developed approach to estimate body condition score is\nproposed. Back view images of the cow were used in this\nsystem. The area around the tailhead and left and right hooks\nare segmented automatically and then classified that region for\nestimating the body condition score. The three main steps\nconducted are (1) segmentation of cows’ images, (2) extraction\nof region of interest (ROI) by using the convex hull method, and\n(3) calculation of parameter using moving average method. To\nconfirm this new approach, back view images of various cow\ntypes are used and the experimental results confirm its\neffectiveness with accurate results."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Body Condition Score (BCS)"}, {"interim": "Region of interest (ROI)"}, {"interim": "Convex hull method"}, {"interim": "Moving average"}, {"interim": "Segmentation"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_no", "licensefree": "©2017 IEEE", "licensetype": "license_free"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "SNPD 2017", "subitem_c_date": "26-28 June, 2017", "subitem_conference_title": "18th IEEE/ ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing", "subitem_place": "Kanazawa, Japan", "subitem_website": "https://ieeexplore.ieee.org/document/8022705"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nay Chi Lynn"}, {"subitem_authors_fullname": "Zin Mar Kyu"}, {"subitem_authors_fullname": "Thi Thi Zin"}, {"subitem_authors_fullname": "Ikuo Kobayashi"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-06-28"}, "item_title": "Estimating Body Condition Score of Cows from Images with the Newly Developed Approach", "item_type_id": "21", "owner": "45", "path": ["1596102391527"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005411", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-16"}, "publish_date": "2020-09-16", "publish_status": "0", "recid": "5411", "relation": {}, "relation_version_is_last": true, "title": ["Estimating Body Condition Score of Cows from Images with the Newly Developed Approach"], "weko_shared_id": -1}