{"id":"https://openalex.org/W4364305265","doi":"https://doi.org/10.1109/aipr57179.2022.10092219","title":"Peanut Seed Germination Detection from Aerial Images","display_name":"Peanut Seed Germination Detection from Aerial Images","publication_year":2022,"publication_date":"2022-10-11","ids":{"openalex":"https://openalex.org/W4364305265","doi":"https://doi.org/10.1109/aipr57179.2022.10092219"},"language":"en","primary_location":{"id":"doi:10.1109/aipr57179.2022.10092219","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aipr57179.2022.10092219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5101789968","display_name":"Shengfang Ma","orcid":"https://orcid.org/0000-0001-6459-2082"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shengfang Ma","raw_affiliation_strings":["Oklahoma State University,Dept. of Computer Science,Stillwater,USA","Dept. of Computer Science, Oklahoma State University, Stillwater, USA"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Dept. of Computer Science,Stillwater,USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"Dept. of Computer Science, Oklahoma State University, Stillwater, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564492","display_name":"Yuting Zhou","orcid":"https://orcid.org/0000-0003-2254-2815"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuting Zhou","raw_affiliation_strings":["Oklahoma State University,Dept. of Geography,Stillwater,USA","Dept. of Geography, Oklahoma State University, Stillwater, USA"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Dept. of Geography,Stillwater,USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"Dept. of Geography, Oklahoma State University, Stillwater, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086159051","display_name":"K. Colton Flynn","orcid":"https://orcid.org/0000-0002-5718-1071"},"institutions":[{"id":"https://openalex.org/I4210165003","display_name":"Grassland, Soil and Water Research Laboratory","ror":"https://ror.org/05mfs3k63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210145274","https://openalex.org/I4210165003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Colton Flynn","raw_affiliation_strings":["USDA-ARS,Grassland Soil Water Research Lab,Temple,USA","Grassland Soil Water Research Lab, USDA-ARS, Temple, USA"],"affiliations":[{"raw_affiliation_string":"USDA-ARS,Grassland Soil Water Research Lab,Temple,USA","institution_ids":["https://openalex.org/I4210165003"]},{"raw_affiliation_string":"Grassland Soil Water Research Lab, USDA-ARS, Temple, USA","institution_ids":["https://openalex.org/I4210165003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080710999","display_name":"Sathyanarayanan N. Aakur","orcid":"https://orcid.org/0000-0003-1062-8929"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathyanarayanan N. Aakur","raw_affiliation_strings":["Oklahoma State University,Dept. of Computer Science,Stillwater,USA","Dept. of Computer Science, Oklahoma State University, Stillwater, USA"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Dept. of Computer Science,Stillwater,USA","institution_ids":["https://openalex.org/I115475287"]},{"raw_affiliation_string":"Dept. of Computer Science, Oklahoma State University, Stillwater, USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101789968"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69433817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9925000071525574,"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":0.9925000071525574,"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/T12855","display_name":"Peanut Plant Research Studies","score":0.9491000175476074,"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/T13361","display_name":"Coconut Research and Applications","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1604","display_name":"Inorganic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/germination","display_name":"Germination","score":0.8366478085517883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4107336699962616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3710872232913971},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.2957461476325989},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1826351284980774}],"concepts":[{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.8366478085517883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4107336699962616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3710872232913971},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.2957461476325989},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1826351284980774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr57179.2022.10092219","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aipr57179.2022.10092219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6100000143051147,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2040859008","https://openalex.org/W2043648244","https://openalex.org/W2078619499","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2485576679","https://openalex.org/W2523705294","https://openalex.org/W2557728737","https://openalex.org/W2618530766","https://openalex.org/W2765366036","https://openalex.org/W2790979755","https://openalex.org/W2797558164","https://openalex.org/W2963037989","https://openalex.org/W3011886372","https://openalex.org/W3034745255","https://openalex.org/W3039712305","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3154360651","https://openalex.org/W3154571917","https://openalex.org/W3164282918","https://openalex.org/W4224035261","https://openalex.org/W4246193833","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2365497559","https://openalex.org/W2393988552","https://openalex.org/W2357554500","https://openalex.org/W2348304484","https://openalex.org/W217980664","https://openalex.org/W2359546330","https://openalex.org/W2351635273"],"abstract_inverted_index":{"Peanut":[0],"is":[1,19,31,124,128,175],"an":[2,134],"essential":[3],"economic":[4],"oil":[5],"crop":[6],"around":[7],"the":[8,47,57,78,87,117,121,152,167,220,227],"world.":[9],"Therefore,":[10],"accurate":[11],"and":[12,33,65,96,160,226],"real-time":[13],"detection":[14,63,82,172],"of":[15,59,89,120,139,169,179,223,229],"peanut":[16,22,27,52,74,100,207,236],"seed":[17],"germination":[18,29,53,237],"necessary":[20],"for":[21,37,130,234],"field":[23],"management.":[24],"However,":[25],"traditional":[26],"seedlings\u2019":[28],"monitoring":[30],"time-consuming":[32],"labor":[34],"intense,":[35],"especially":[36],"large":[38],"fields.":[39],"In":[40],"this":[41],"work,":[42],"we":[43,84,144,164,212],"propose":[44],"to":[45,70,98,177,205],"reduce":[46],"time":[48],"lag":[49],"in":[50,158],"detecting":[51],"failures":[54],"by":[55],"combining":[56],"power":[58],"deep":[60],"learning-based":[61],"object":[62,81],"(OD)":[64],"unmanned":[66],"aerial":[67],"systems":[68],"(UAS)":[69],"identify":[71,99],"early":[72,235],"in-field":[73],"germination.":[75],"To":[76],"find":[77,145,165],"most":[79],"suitable":[80],"model,":[83],"first":[85],"compared":[86],"performance":[88,153,168],"two":[90],"representative":[91],"OD":[92,230],"models,":[93],"Faster":[94,131],"RCNN":[95,132],"SSD,":[97],"seedlings":[101],"from":[102],"UAS":[103],"imagery":[104,225],"obtained":[105],"through":[106],"a":[107,185,190,199],"multispectral":[108,202],"camera":[109,193,203],"setup":[110,188],"(MicaSense":[111],"Rededge).":[112],"The":[113],"results":[114],"showed":[115],"that":[116,146,166,178,184,214],"F1":[118],"score":[119],"SSD":[122],"model":[123],"0.82,":[125],"while":[126],"it":[127],"0.85":[129],"at":[133],"Intersection":[135],"over":[136],"Union":[137],"(IoU)":[138],"0.5.":[140],"Through":[141],"extensive":[142,210],"ablations,":[143],"deeper":[147],"models":[148],"only":[149],"marginally":[150],"improved":[151],"but":[154],"were":[155],"more":[156,200],"expensive":[157],"computation":[159],"inference":[161],"times.":[162],"Interestingly":[163],"RGB-based":[170],"seedling":[171],"(0.917":[173],"mAP)":[174],"comparable":[176],"R-RedEdge-NIR":[180],"(0.919":[181],"mAP),":[182],"indicating":[183],"remote":[186,216],"sensing":[187,217],"with":[189,219],"regular":[191],"RGB":[192],"can":[194],"perform":[195],"as":[196,198],"well":[197],"expensive,":[201],"system":[204],"detect":[206],"seedlings.":[208],"With":[209],"experimentation,":[211],"infer":[213],"cheaper":[215],"mechanisms":[218],"rapid":[221],"acquisition":[222],"UAS-based":[224],"efficiency":[228],"methods":[231],"are":[232],"practical":[233],"detection.":[238]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}