{"id":"https://openalex.org/W2770003085","doi":"https://doi.org/10.1109/iccvw.2017.236","title":"Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers","display_name":"Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2770003085","doi":"https://doi.org/10.1109/iccvw.2017.236","mag":"2770003085"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2017.236","doi":"https://doi.org/10.1109/iccvw.2017.236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2017.236","pdf_url":null,"source":{"id":"https://openalex.org/S4393918695","display_name":"IEEE International Conference on Computer Vision Workshops","issn_l":"2473-9936","issn":["2473-9936"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5058673315","display_name":"Hanno Scharr","orcid":"https://orcid.org/0000-0002-8555-6416","observed_orcids":["https://orcid.org/0000-0002-8555-6416"]},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Scharr","raw_affiliation_strings":["Institute of Bio- and Geosciences (IBG), IBG-2: Plant Sciences, Forschungszentrum J\u00fclich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Bio- and Geosciences (IBG), IBG-2: Plant Sciences, Forschungszentrum J\u00fclich, Germany","institution_ids":["https://openalex.org/I171892758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042809328","display_name":"Tony Pridmore","orcid":"https://orcid.org/0000-0002-9485-1978","observed_orcids":["https://orcid.org/0000-0002-9485-1978"]},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T. Pridmore","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054437456","display_name":"Sotirios A. Tsaftaris","orcid":"https://orcid.org/0000-0002-8795-9294","observed_orcids":["https://orcid.org/0000-0002-8795-9294"]},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. A. Tsaftaris","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8661,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95392881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2020","last_page":"2021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.01979999989271164,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/plant-phenotyping","display_name":"plant phenotyping","score":0.9990000128746033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"computer vision","score":0.8880000114440918},{"id":"https://openalex.org/keywords/image-based-phenotyping","display_name":"image-based phenotyping","score":0.9110000133514404},{"id":"https://openalex.org/keywords/gene-environment-interaction","display_name":"gene-environment interaction","score":0.7129999995231628},{"id":"https://openalex.org/keywords/high-throughput-phenotyping","display_name":"high-throughput phenotyping","score":0.8360000252723694},{"id":"https://openalex.org/keywords/uav-imagery","display_name":"UAV imagery","score":0.6620000004768372},{"id":"https://openalex.org/keywords/smart-greenhouse","display_name":"smart greenhouse","score":0.8379999995231628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121039628982544},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5973032712936401},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.560910165309906},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.55061936378479},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5459299683570862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5396864414215088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296226143836975},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1518622636795044},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09946319460868835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07511627674102783},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07078221440315247},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2017.236","doi":"https://doi.org/10.1109/iccvw.2017.236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2017.236","pdf_url":null,"source":{"id":"https://openalex.org/S4393918695","display_name":"IEEE International Conference on Computer Vision Workshops","issn_l":"2473-9936","issn":["2473-9936"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6735000014305115,"display_name":"Zero hunger"}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/12","score":0.4399999976158142,"display_name":"Responsible consumption and production"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1907110180","https://openalex.org/W2120202249","https://openalex.org/W2264784471","https://openalex.org/W2747291751","https://openalex.org/W2752055492","https://openalex.org/W2752272426","https://openalex.org/W2757993869","https://openalex.org/W2767103329","https://openalex.org/W2768701195","https://openalex.org/W2770023117","https://openalex.org/W2770172697","https://openalex.org/W3208678520","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W2349383066","https://openalex.org/W1969901537","https://openalex.org/W4328132048","https://openalex.org/W4308259661","https://openalex.org/W1639545646","https://openalex.org/W2376202349"],"abstract_inverted_index":{"Plant":[0],"phenotyping":[1],"is":[2],"the":[3,8,11,25,29,32],"identification":[4],"of":[5,19,34,62,80],"effects":[6],"on":[7],"phenotype":[9],"(i.e.,":[10,22],"plant":[12],"appearance":[13],"and":[14,28,42,100],"behavior)":[15],"as":[16],"a":[17,60,96],"result":[18],"genotype":[20],"differences":[21,23],"in":[24,95],"genetic":[26],"code)":[27],"environment.":[30],"Previously,":[31],"process":[33],"taking":[35],"phenotypic":[36],"measurements":[37],"has":[38],"been":[39],"laborious,":[40],"costly,":[41],"time":[43],"consuming.":[44],"In":[45],"recent":[46],"years,":[47],"non-invasive,":[48],"image-based":[49],"methods":[50],"have":[51],"become":[52],"more":[53],"common.":[54],"These":[55,89],"images":[56,79,90],"are":[57],"recorded":[58],"by":[59,86],"range":[61],"capture":[63],"devices":[64],"from":[65,77],"small":[66],"embedded":[67],"camera":[68],"systems":[69],"to":[70,82,92],"multi-million":[71],"Euro":[72],"smart-greenhouses,":[73],"at":[74],"scales":[75],"ranging":[76],"microscopic":[78],"cells,":[81],"entire":[83],"fields":[84],"captured":[85],"UAV":[87],"imaging.":[88],"needs":[91],"be":[93],"analyzed":[94],"high":[97],"throughput,":[98],"robust,":[99],"accurate":[101],"manner.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}