{"id":"https://openalex.org/W6888039146","doi":"https://doi.org/10.18420/inf2024_99","title":"Maschinelle Bilderkennung von Ph\u00e4nophasen bei Pflanzen","display_name":"Maschinelle Bilderkennung von Ph\u00e4nophasen bei Pflanzen","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6888039146","doi":"https://doi.org/10.18420/inf2024_99"},"language":"de","primary_location":{"id":"doi:10.18420/inf2024_99","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_99","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/inf2024_99","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Seegert, Tim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seegert, Tim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Schulze, Paul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schulze, Paul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Fuchs-Kittowski, Frank","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuchs-Kittowski, Frank","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0419,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83907798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6826000213623047,"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":0.6826000213623047,"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":0.13459999859333038,"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"}},{"id":"https://openalex.org/T12161","display_name":"Plant Surface Properties and Treatments","score":0.03280000016093254,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.4271000027656555},{"id":"https://openalex.org/C29456083","wikidata":"https://www.wikidata.org/wiki/Q1221899","display_name":"Gynecology","level":1,"score":0.3125},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2621999979019165},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.24660000205039978},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.2328999936580658},{"id":"https://openalex.org/C153911025","wikidata":"https://www.wikidata.org/wiki/Q7202","display_name":"Molecular biology","level":1,"score":0.2094999998807907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1915999948978424},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1754000037908554},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.15029999613761902},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.10689999908208847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/inf2024_99","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_99","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/inf2024_99","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_99","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Die":[0,99],"Ph\u00e4nologie":[1],"von":[2,29,34,144],"Pflanzen":[3,85],"steht":[4],"im":[5],"direkten":[6],"Zusammenhang":[7],"mit":[8,120],"klimatischen":[9],"Bedingungen":[10],"in":[11,53,132],"\u00d6kosystemen":[12],"und":[13,73,87,115],"kann":[14],"helfen,":[15],"die":[16,84,90],"Auswirkungen":[17],"des":[18],"Klimawandels":[19],"zu":[20,41,50,64,123,149],"erkennen.":[21,65],"Es":[22],"besteht":[23],"ein":[24,48],"Bedarf":[25],"an":[26,69],"der":[27],"Entwicklung":[28],"automatischen":[30],"Methoden":[31],"zur":[32],"Erkennung":[33],"Ph\u00e4nophasen,":[35],"um":[36,60],"diese":[37],"mittels":[38],"Crowdsourcing":[39],"erheben":[40],"k\u00f6nnen.":[42,98],"Ziel":[43],"dieses":[44],"Beitrags":[45],"ist":[46],"es,":[47],"ML-Modell":[49],"entwickeln,":[51],"das":[52,130],"eine":[54,138],"mobile":[55,133],"Anwendung":[56],"integriert":[57,135],"werden":[58],"kann,":[59],"ph\u00e4nologische":[61,93],"Phasen":[62,94,146],"automatisch":[63],"Hierf\u00fcr":[66],"wurden":[67,82],"Anforderungen":[68],"ph\u00e4nologisches":[70],"Bildmaterial":[71],"definiert":[72],"verschiedene":[74,80,92],"Bilddatenbanken":[75],"als":[76],"Datengrundlage":[77],"untersucht.":[78],"Drei":[79],"CNN-Modelle":[81],"f\u00fcr":[83,113],"Mais":[86],"Soja":[88,114],"erstellt,":[89],"vier":[91],"eines":[95],"Feldes":[96],"unterscheiden":[97],"entwickelten":[100],"Modelle":[101],"erreichten":[102],"bei":[103],"den":[104],"Metriken":[105],"\u201erecall\u201c,":[106],"\u201eprecision\u201c,":[107],"\u201eaccuracy\u201c":[108],"jeweils":[109],"mindestens":[110],"90":[111],"%":[112],"Mais.":[116],"Ein":[117],"stichprobenhafter":[118],"Test":[119],"Nahaufnahmen":[121],"f\u00fchrte":[122],"falschen":[124],"Klassifikationen.":[125],"Mittels":[126],"TensorFlow":[127],"Lite":[128],"konnte":[129],"Modell":[131],"Anwendungen":[134],"werden.":[136],"F\u00fcr":[137],"praktische":[139],"Nutzung":[140],"sind":[141],"weitere":[142],"Bilder":[143],"ph\u00e4nologischen":[145],"(insbesondere":[147],"Nahaufnahmen)":[148],"ber\u00fccksichtigen.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
