{"id":"https://openalex.org/W4404294765","doi":"https://doi.org/10.1109/m2vip62491.2024.10745998","title":"Promptable Leaf Segmentation in Plant Phenotyping: Research Perspectives and Challenges","display_name":"Promptable Leaf Segmentation in Plant Phenotyping: Research Perspectives and Challenges","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404294765","doi":"https://doi.org/10.1109/m2vip62491.2024.10745998"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip62491.2024.10745998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10745998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5091653861","display_name":"J. Abe","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"John Wesley Abe","raw_affiliation_strings":["De La Salle University,College of Computer Studies,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University,College of Computer Studies,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009938176","display_name":"Joel Ilao","orcid":"https://orcid.org/0000-0001-7601-6605"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Joel Ilao","raw_affiliation_strings":["De La Salle University,College of Computer Studies,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University,College of Computer Studies,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030680536","display_name":"Greg Foliente","orcid":"https://orcid.org/0000-0003-1968-4978"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Greg Foliente","raw_affiliation_strings":["University of Melbourne,Faculty of Engineering and IT,Melbourne,Australia"],"affiliations":[{"raw_affiliation_string":"University of Melbourne,Faculty of Engineering and IT,Melbourne,Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091653861"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":0.6501,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80030798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"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":0.9951000213623047,"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":0.9951000213623047,"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":0.9688000082969666,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9650999903678894,"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":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5976691246032715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5483759045600891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34400129318237305}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5976691246032715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5483759045600891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34400129318237305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip62491.2024.10745998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10745998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2278786050","https://openalex.org/W2884588043","https://openalex.org/W2945590847","https://openalex.org/W2951630487","https://openalex.org/W2962676885","https://openalex.org/W2963652396","https://openalex.org/W2963659353","https://openalex.org/W2967173272","https://openalex.org/W3047532279","https://openalex.org/W3120796849","https://openalex.org/W3132455321","https://openalex.org/W3159481202","https://openalex.org/W3176828726","https://openalex.org/W3207510978","https://openalex.org/W4210818508","https://openalex.org/W4212992032","https://openalex.org/W4225925810","https://openalex.org/W4285167436","https://openalex.org/W4296312579","https://openalex.org/W4313156423","https://openalex.org/W4313421488","https://openalex.org/W4366208220","https://openalex.org/W4367189325","https://openalex.org/W4376653674","https://openalex.org/W4379474533","https://openalex.org/W4380551232","https://openalex.org/W4383109089","https://openalex.org/W4386329842","https://openalex.org/W4386824998","https://openalex.org/W4387075392","https://openalex.org/W4389650634","https://openalex.org/W4389708231","https://openalex.org/W4390190628","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4391272787","https://openalex.org/W4391462957","https://openalex.org/W4391590853","https://openalex.org/W4392025232","https://openalex.org/W4394744904","https://openalex.org/W4394758452","https://openalex.org/W4401008913","https://openalex.org/W6753094296","https://openalex.org/W6851800889","https://openalex.org/W6851980744","https://openalex.org/W6852880106","https://openalex.org/W6852991312","https://openalex.org/W6853702739","https://openalex.org/W6853820509","https://openalex.org/W6855990498","https://openalex.org/W6858986087","https://openalex.org/W6859309697","https://openalex.org/W6859676916","https://openalex.org/W6860682419","https://openalex.org/W6861232000","https://openalex.org/W6861887733"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,96],"transition":[1],"to":[2,77,112,163],"sustainable":[3],"agriculture":[4],"necessitates":[5],"a":[6],"greater":[7],"understanding":[8],"of":[9,29,37,57,105,149],"plants":[10],"in":[11,22,48],"the":[12,26,35,54,147],"field":[13],"with":[14],"automated":[15,155],"plant":[16,30,156,160],"phenotyping.":[17],"Leaf":[18],"segmentation":[19,50,82,106,110],"is":[20],"critical":[21],"this":[23],"domain,":[24],"enabling":[25],"accurate":[27],"assessment":[28],"traits":[31],"essential":[32],"for":[33,81,158,170],"managing":[34],"growth":[36],"economically":[38],"viable":[39],"crops":[40],"and":[41,72,92,108,128,136,145,167],"plants.":[42],"This":[43],"paper":[44,97],"reviews":[45],"recent":[46],"developments":[47],"leaf":[49],"methodologies,":[51],"focusing":[52],"on":[53],"emerging":[55],"paradigm":[56],"promptable":[58,150],"segmentation.":[59],"Promptable":[60],"segmentation,":[61,151],"exemplified":[62],"by":[63,74],"Meta":[64],"AI\u2019s":[65],"Segment":[66],"Anything":[67],"Model":[68],"(SAM),":[69],"offers":[70],"flexibility":[71],"versatility":[73],"allowing":[75],"users":[76],"provide":[78],"various":[79],"prompts":[80],"tasks.":[83],"However,":[84],"challenges":[85,144],"such":[86,100],"as":[87,101],"complex":[88],"backgrounds,":[89],"overlapping":[90],"leaves,":[91],"computational":[93],"complexity":[94],"persist.":[95],"discusses":[98],"strategies":[99],"prompt":[102],"engineering,":[103],"post-processing":[104],"outputs,":[107],"fine-tuning":[109,125],"models":[111],"address":[113],"these":[114,143],"challenges.":[115],"Future":[116],"research":[117],"includes":[118],"exploring":[119],"occlusion":[120],"handling":[121],"techniques,":[122],"adopting":[123],"parameter-efficient":[124],"methods,":[126],"collecting":[127],"leveraging":[129],"publicly":[130],"available":[131],"datasets,":[132],"synthetic":[133],"data":[134,139],"generation,":[135],"embracing":[137],"video-based":[138],"collection.":[140],"By":[141],"overcoming":[142],"harnessing":[146],"potential":[148],"researchers":[152],"can":[153],"create":[154],"phenotyping":[157],"any":[159],"species,":[161],"leading":[162],"more":[164],"accurate,":[165],"efficient,":[166],"scalable":[168],"solutions":[169],"agricultural":[171],"sustainability.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
