{"id":"https://openalex.org/W2549228492","doi":"https://doi.org/10.1109/coase.2016.7743500","title":"Surveying apple orchards with a monocular vision system","display_name":"Surveying apple orchards with a monocular vision system","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2549228492","doi":"https://doi.org/10.1109/coase.2016.7743500","mag":"2549228492"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2016.7743500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5052203971","display_name":"Pravakar Roy","orcid":"https://orcid.org/0000-0002-5410-1486"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pravakar Roy","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033839227","display_name":"Volkan Isler","orcid":"https://orcid.org/0000-0002-0868-5441"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Volkan Isler","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"916","last_page":"921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7421631813049316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145072221755981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694368839263916},{"id":"https://openalex.org/keywords/orchard","display_name":"Orchard","score":0.5008666515350342},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.497527152299881},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.49537360668182373},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4906565248966217},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4505241811275482},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.4430212080478668},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.42299920320510864},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3973495364189148},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23535561561584473}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7421631813049316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145072221755981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694368839263916},{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.5008666515350342},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.497527152299881},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.49537360668182373},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4906565248966217},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4505241811275482},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.4430212080478668},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.42299920320510864},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3973495364189148},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23535561561584473},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2016.7743500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1484371059","https://openalex.org/W1517128113","https://openalex.org/W1659349535","https://openalex.org/W1677409904","https://openalex.org/W1983016117","https://openalex.org/W2015996585","https://openalex.org/W2029650619","https://openalex.org/W2033819227","https://openalex.org/W2035379092","https://openalex.org/W2109635530","https://openalex.org/W2124386111","https://openalex.org/W2134237713","https://openalex.org/W2134974756","https://openalex.org/W2137568841","https://openalex.org/W2143668817","https://openalex.org/W2156585878","https://openalex.org/W2183320018","https://openalex.org/W3203875547","https://openalex.org/W6802630225"],"related_works":["https://openalex.org/W2115571026","https://openalex.org/W4321142835","https://openalex.org/W3192645019","https://openalex.org/W3185738386","https://openalex.org/W2687972263","https://openalex.org/W4310825147","https://openalex.org/W2980953096","https://openalex.org/W141379373","https://openalex.org/W4312637486","https://openalex.org/W2156208915"],"abstract_inverted_index":{"We":[0,86,111],"present":[1,87],"computer":[2],"vision":[3],"algorithms":[4,83],"to":[5,27,32,39,63,84,96],"collect":[6],"yield":[7,44],"related":[8,45],"information":[9],"in":[10,51],"an":[11],"apple":[12],"orchard":[13],"using":[14,67],"images":[15,41],"collected":[16],"from":[17,81,93,118],"a":[18,88],"single":[19],"camera.":[20],"The":[21,72],"goal":[22],"of":[23,75],"our":[24,113],"system":[25],"is":[26,60,103],"give":[28],"farmers":[29],"the":[30,76,100],"capability":[31],"use":[33],"their":[34],"phones":[35],"or":[36],"digital":[37],"cameras":[38],"record":[40],"and":[42,98,108],"obtain":[43],"parameters.":[46],"There":[47],"are":[48],"two":[49],"challenges":[50],"this":[52],"setup":[53,77],"which":[54,102],"necessitate":[55],"novel":[56,89],"methods:":[57],"(i)":[58],"It":[59],"very":[61],"difficult":[62],"generate":[64],"dense":[65],"matches":[66],"standard":[68],"image":[69],"features.":[70],"(ii)":[71],"constrained":[73],"geometry":[74],"causes":[78],"existing":[79],"structure":[80,92],"motion":[82,94],"fail.":[85],"piecewise":[90],"incremental":[91],"technique":[95],"register":[97],"reconstruct":[99],"apples":[101],"used":[104],"for":[105],"extracting":[106],"count":[107],"diameter":[109],"information.":[110],"validate":[112],"approach":[114],"by":[115],"presenting":[116],"results":[117],"multiple":[119],"field":[120],"trials.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}