{"id":"https://openalex.org/W3026306484","doi":"https://doi.org/10.1109/ssiai49293.2020.9094605","title":"Plant Stem Segmentation Using Fast Ground Truth Generation","display_name":"Plant Stem Segmentation Using Fast Ground Truth Generation","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3026306484","doi":"https://doi.org/10.1109/ssiai49293.2020.9094605","mag":"3026306484"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai49293.2020.9094605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai49293.2020.9094605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"},"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/A5104122677","display_name":"Changye Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changye Yang","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085323232","display_name":"Sriram Baireddy","orcid":"https://orcid.org/0000-0002-4386-0065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sriram Baireddy","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321260","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0001-6094-0545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029289023","display_name":"Enyu Cai","orcid":"https://orcid.org/0000-0001-6169-4673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enyu Cai","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048334018","display_name":"Denise Caldwell","orcid":"https://orcid.org/0000-0002-6282-7033"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Denise Caldwell","raw_affiliation_strings":["Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045710537","display_name":"Val\u00e9rian M\u00e9line","orcid":"https://orcid.org/0000-0001-9353-7760"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valerian Meline","raw_affiliation_strings":["Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034990134","display_name":"Anjali S. Iyer\u2010Pascuzzi","orcid":"https://orcid.org/0000-0001-5356-4350"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anjali S. Iyer-Pascuzzi","raw_affiliation_strings":["Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iyer-Pascuzzi Lab, Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089688702","display_name":"Edward J. Delp","orcid":"https://orcid.org/0000-0002-2909-7323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edward J. Delp","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1637,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79586391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9976999759674072,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9976999759674072,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9975000023841858,"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":0.9958999752998352,"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/wilting","display_name":"Wilting","score":0.9191538095474243},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.8444088697433472},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7592323422431946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6425551176071167},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5506913661956787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5464119911193848},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4544229805469513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33601969480514526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32982394099235535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1984921395778656},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18474769592285156},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.14032533764839172}],"concepts":[{"id":"https://openalex.org/C90355303","wikidata":"https://www.wikidata.org/wiki/Q2299244","display_name":"Wilting","level":2,"score":0.9191538095474243},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.8444088697433472},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7592323422431946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6425551176071167},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5506913661956787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5464119911193848},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4544229805469513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33601969480514526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32982394099235535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1984921395778656},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18474769592285156},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.14032533764839172},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai49293.2020.9094605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai49293.2020.9094605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5199999809265137,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W214577476","https://openalex.org/W356402344","https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1969664199","https://openalex.org/W2003410902","https://openalex.org/W2016181668","https://openalex.org/W2041636156","https://openalex.org/W2158698691","https://openalex.org/W2185489349","https://openalex.org/W2580279559","https://openalex.org/W2767547957","https://openalex.org/W2795276939","https://openalex.org/W2963150697","https://openalex.org/W2963477018","https://openalex.org/W6639824700","https://openalex.org/W6654423391","https://openalex.org/W6735463952"],"related_works":["https://openalex.org/W2008407963","https://openalex.org/W4378836185","https://openalex.org/W2347360917","https://openalex.org/W1969617675","https://openalex.org/W2033725919","https://openalex.org/W2347407653","https://openalex.org/W2054486979","https://openalex.org/W3002226752","https://openalex.org/W3026306484","https://openalex.org/W1997160662"],"abstract_inverted_index":{"Accurately":[0],"phenotyping":[1],"plant":[2,61],"wilting":[3],"is":[4],"important":[5],"for":[6,82],"understanding":[7],"responses":[8],"to":[9,22,77],"environmental":[10],"stress.":[11],"Analysis":[12],"of":[13,16,27,92],"the":[14,25,37,74,90],"shape":[15,30],"plants":[17],"can":[18,32,57],"potentially":[19],"be":[20,33],"used":[21],"accurately":[23,58],"quantify":[24],"degree":[26],"wilting.":[28,47],"Plant":[29],"analysis":[31],"enhanced":[34],"by":[35],"locating":[36],"stem,":[38],"which":[39],"serves":[40],"as":[41],"a":[42,66,79,83],"consistent":[43],"reference":[44],"point":[45],"during":[46],"In":[48],"this":[49],"paper,":[50],"we":[51],"show":[52,89],"that":[53,71],"deep":[54,84,100],"learning":[55,85,101],"methods":[56],"segment":[59],"tomato":[60],"stems.":[62],"We":[63],"also":[64],"propose":[65],"control-point-based":[67],"ground":[68,96],"truth":[69,97],"method":[70],"drastically":[72],"reduces":[73],"resources":[75],"needed":[76],"create":[78],"training":[80],"dataset":[81],"approach.":[86],"Experimental":[87],"results":[88],"viability":[91],"both":[93],"our":[94],"proposed":[95],"approach":[98],"and":[99],"based":[102],"stem":[103],"segmentation.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}