{"id":"https://openalex.org/W2750781972","doi":"https://doi.org/10.1109/snpd.2017.8022705","title":"Estimating body condition score of cows from images with the newly developed approach","display_name":"Estimating body condition score of cows from images with the newly developed approach","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2750781972","doi":"https://doi.org/10.1109/snpd.2017.8022705","mag":"2750781972"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2017.8022705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2017.8022705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028868650","display_name":"Nay Chi Lynn","orcid":"https://orcid.org/0000-0001-6487-1209"},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Nay Chi Lynn","raw_affiliation_strings":["University of Computer Studies, Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008028997","display_name":"Zin Mar Kyu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089821","display_name":"University of Computer Studies Mandalay","ror":"https://ror.org/008jssb69","country_code":"MM","type":"education","lineage":["https://openalex.org/I4210089821"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Zin Mar Kyu","raw_affiliation_strings":["University of Computer Studies, Mandalay, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Mandalay, Myanmar","institution_ids":["https://openalex.org/I4210089821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058861287","display_name":"Thi Thi Zin","orcid":null},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Thi Zin","raw_affiliation_strings":["University of Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103267767","display_name":"Ikuo Kobayashi","orcid":"https://orcid.org/0000-0002-0687-381X"},"institutions":[{"id":"https://openalex.org/I118574687","display_name":"University of Miyazaki","ror":"https://ror.org/0447kww10","country_code":"JP","type":"education","lineage":["https://openalex.org/I118574687"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ikuo Kobayashi","raw_affiliation_strings":["University of Miyazaki, Japan"],"affiliations":[{"raw_affiliation_string":"University of Miyazaki, Japan","institution_ids":["https://openalex.org/I118574687"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028868650"],"corresponding_institution_ids":["https://openalex.org/I4210089821"],"apc_list":null,"apc_paid":null,"fwci":1.114,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76740517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10584","display_name":"Reproductive Physiology in Livestock","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6603899598121643},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.6436870098114014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472748279571533},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5287085771560669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5127514600753784},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4317229390144348},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.42277970910072327},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4227690100669861},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42077553272247314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40491941571235657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3865203261375427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33938872814178467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33851563930511475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1128578782081604},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08059319853782654}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6603899598121643},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.6436870098114014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472748279571533},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5287085771560669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127514600753784},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4317229390144348},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.42277970910072327},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4227690100669861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42077553272247314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40491941571235657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3865203261375427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33938872814178467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33851563930511475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1128578782081604},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08059319853782654},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2017.8022705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2017.8022705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W26300084","https://openalex.org/W1995208780","https://openalex.org/W2036421323","https://openalex.org/W2112158452","https://openalex.org/W2403378439","https://openalex.org/W2426912893","https://openalex.org/W2947800101","https://openalex.org/W6601088669","https://openalex.org/W6713626929","https://openalex.org/W6762843088"],"related_works":["https://openalex.org/W2467926385","https://openalex.org/W2893068807","https://openalex.org/W161301265","https://openalex.org/W2483619716","https://openalex.org/W4246461909","https://openalex.org/W2377576908","https://openalex.org/W2971424936","https://openalex.org/W2007256320","https://openalex.org/W2991249704","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,59,83],"Body":[1],"Condition":[2],"Score":[3],"(BCS)":[4],"is":[5,29,46],"the":[6,18,24,35,52,62,79,103,131],"level":[7],"of":[8,27,37,51,91,96,98,110,124],"energy":[9],"reserves":[10],"in":[11,56],"many":[12],"species,":[13],"including":[14],"dairy":[15,22],"cattle.":[16],"For":[17],"exact":[19],"management":[20],"on":[21],"farms,":[23],"judgment":[25],"process":[26],"BCS":[28],"critically":[30],"important.":[31],"In":[32],"this":[33,57,118],"study,":[34],"implementation":[36],"newly":[38],"developed":[39],"approach":[40],"to":[41],"estimate":[42],"body":[43,80],"condition":[44,81],"score":[45],"proposed.":[47],"Back":[48],"view":[49,122],"images":[50,123],"cow":[53,126],"were":[54],"used":[55,129],"system.":[58],"area":[60],"around":[61],"tailhead":[63],"and":[64,66,72,107,130],"left":[65],"right":[67],"hooks":[68],"are":[69,88,128],"segmented":[70],"automatically":[71],"then":[73],"classified":[74],"that":[75],"region":[76,97],"for":[77],"estimating":[78],"score.":[82],"three":[84],"main":[85],"steps":[86],"conducted":[87],"(1)":[89],"segmentation":[90],"cows'":[92],"images,":[93],"(2)":[94],"extraction":[95],"interest":[99],"(ROI)":[100],"by":[101],"using":[102,112],"convex":[104],"hull":[105],"method,":[106],"(3)":[108],"calculation":[109],"parameter":[111],"moving":[113],"average":[114],"method.":[115],"To":[116],"confirm":[117,134],"new":[119],"approach,":[120],"back":[121],"various":[125],"types":[127],"experimental":[132],"results":[133],"its":[135],"effectiveness":[136],"with":[137],"accurate":[138],"results.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}