{"id":"https://openalex.org/W2090510281","doi":"https://doi.org/10.1109/bicta.2010.5645146","title":"Plant root image processing and analysis based on 2D scanner","display_name":"Plant root image processing and analysis based on 2D scanner","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2090510281","doi":"https://doi.org/10.1109/bicta.2010.5645146","mag":"2090510281"},"language":"en","primary_location":{"id":"doi:10.1109/bicta.2010.5645146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bicta.2010.5645146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","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/A5009028550","display_name":"Yugan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yugan Chen","raw_affiliation_strings":["Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China","Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060486836","display_name":"Xuecheng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Zhou","raw_affiliation_strings":["Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China","Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009028550"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":0.588,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.73690406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1216","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.960099995136261,"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/T12310","display_name":"Crop Yield and Soil Fertility","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop 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/scanner","display_name":"Scanner","score":0.6696426868438721},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.6134231090545654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5317028164863586},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5247597694396973},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48765647411346436},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48757046461105347},{"id":"https://openalex.org/keywords/plant-root","display_name":"Plant root","score":0.47758200764656067},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.4190193712711334},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3439987003803253},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.33659785985946655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3253430128097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3211798667907715},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2881906032562256},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.13492310047149658},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10036107897758484}],"concepts":[{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.6696426868438721},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.6134231090545654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5317028164863586},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5247597694396973},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48765647411346436},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48757046461105347},{"id":"https://openalex.org/C3020728986","wikidata":"https://www.wikidata.org/wiki/Q41500","display_name":"Plant root","level":2,"score":0.47758200764656067},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.4190193712711334},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3439987003803253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.33659785985946655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3253430128097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3211798667907715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2881906032562256},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.13492310047149658},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10036107897758484},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bicta.2010.5645146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bicta.2010.5645146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1515937146","https://openalex.org/W1974647791","https://openalex.org/W2053134227","https://openalex.org/W2359073931","https://openalex.org/W2389263132","https://openalex.org/W3100816363"],"related_works":["https://openalex.org/W4389325020","https://openalex.org/W2412684871","https://openalex.org/W2385786288","https://openalex.org/W1554627072","https://openalex.org/W2172367616","https://openalex.org/W1809300420","https://openalex.org/W135648808","https://openalex.org/W2045012449","https://openalex.org/W2623151937","https://openalex.org/W2068910249"],"abstract_inverted_index":{"Root":[0],"is":[1,26],"an":[2],"important":[3,48],"organ":[4],"for":[5,49,70],"Plant":[6],"to":[7,21,29,105],"uptake":[8],"nutrient":[9,23],"and":[10,24,33,39,51,63,93,121,145,157,175],"water":[11,25],"from":[12,61,114,152],"the":[13,17,67,71,107,123,133,146,153,167],"surrounding":[14],"soil.":[15],"And":[16],"capability":[18],"of":[19,41,54,73,84,110,125,136,159],"plant":[20,42,74,85,111,126,137],"obtain":[22],"closely":[27],"relevant":[28],"its":[30],"root":[31,43,75,86,127,138,148,155],"distribution":[32],"architecture":[34,44,76,81],"under":[35],"ground.":[36],"Quantitative":[37],"measurement":[38,69],"analysis":[40,82],"parameters":[45,72],"are":[46],"very":[47],"understanding":[50],"study":[52],"growth":[53],"plant,":[55],"as":[56,58],"well":[57],"preventing":[59],"disaster":[60],"diseases":[62],"insect.":[64],"To":[65],"implement":[66],"automatic":[68],"with":[77,89,130,141],"computer,":[78],"a":[79,160],"2D":[80],"system":[83],"was":[87,103,128,139,150,173],"developed":[88],"using":[90],"desktop":[91,101],"scanner":[92,102],"image":[94,109,118],"processing":[95],"technologies":[96],"in":[97,170],"this":[98,171],"paper.":[99],"A":[100],"used":[104],"acquire":[106],"digital":[108],"roots":[112],"washed":[113],"soil":[115],"sample.":[116,161],"After":[117],"processing,":[119],"segmentation":[120],"analysis,":[122],"length":[124,158],"measured":[129],"chain-code":[131],"method,":[132],"surface":[134],"area":[135,156],"got":[140],"cylinder":[142],"approximate":[143],"model,":[144],"average":[147],"diameter":[149],"calculated":[151],"total":[154],"The":[162],"programming":[163],"experiment":[164],"showed":[165],"that":[166],"method":[168],"proposed":[169],"paper":[172],"useful":[174],"effective.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":12},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}