{"id":"https://openalex.org/W7134936048","doi":"https://doi.org/10.1109/sccc67219.2025.11420562","title":"PodaVR: A Virtual Reality-Based Training System for Cherry Tree Pruning","display_name":"PodaVR: A Virtual Reality-Based Training System for Cherry Tree Pruning","publication_year":2025,"publication_date":"2025-10-28","ids":{"openalex":"https://openalex.org/W7134936048","doi":"https://doi.org/10.1109/sccc67219.2025.11420562"},"language":null,"primary_location":{"id":"doi:10.1109/sccc67219.2025.11420562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sccc67219.2025.11420562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 44th International Conference of the Chilean Computer Science Society (SCCC)","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/A5128776120","display_name":"Diego Santander","orcid":null},"institutions":[{"id":"https://openalex.org/I134695357","display_name":"University of Talca","ror":"https://ror.org/01s4gpq44","country_code":"CL","type":"education","lineage":["https://openalex.org/I134695357"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Diego Santander","raw_affiliation_strings":["University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile","institution_ids":["https://openalex.org/I134695357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086109060","display_name":"Felipe Besoa\u00edn","orcid":"https://orcid.org/0000-0002-2810-9433"},"institutions":[{"id":"https://openalex.org/I134695357","display_name":"University of Talca","ror":"https://ror.org/01s4gpq44","country_code":"CL","type":"education","lineage":["https://openalex.org/I134695357"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Felipe Besoain","raw_affiliation_strings":["University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile","institution_ids":["https://openalex.org/I134695357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041783514","display_name":"Nicolas A. Barriga","orcid":"https://orcid.org/0000-0002-1914-3840"},"institutions":[{"id":"https://openalex.org/I134695357","display_name":"University of Talca","ror":"https://ror.org/01s4gpq44","country_code":"CL","type":"education","lineage":["https://openalex.org/I134695357"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Nicolas Barriga","raw_affiliation_strings":["University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Talca,Faculty of Engineering,Dept. of Interactive Visualization and Virtual Reality,Talca,Chile","institution_ids":["https://openalex.org/I134695357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.699638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.46140000224113464,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.46140000224113464,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10888","display_name":"Augmented Reality Applications","score":0.10260000079870224,"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/T12290","display_name":"Human Motion and Animation","score":0.039799999445676804,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5396000146865845},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.47620001435279846},{"id":"https://openalex.org/keywords/training-system","display_name":"Training system","score":0.4392000138759613},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42730000615119934},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.36059999465942383}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633999705314636},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5065000057220459},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C2776857766","wikidata":"https://www.wikidata.org/wiki/Q7832987","display_name":"Training system","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3580000102519989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33550000190734863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28290000557899475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sccc67219.2025.11420562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sccc67219.2025.11420562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 44th International Conference of the Chilean Computer Science Society (SCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4851032495498657,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1581591457","https://openalex.org/W2000690667","https://openalex.org/W2113699751","https://openalex.org/W2123579819","https://openalex.org/W2136922540","https://openalex.org/W2155710590","https://openalex.org/W2916054821","https://openalex.org/W2922089346","https://openalex.org/W3167384478","https://openalex.org/W4315562545","https://openalex.org/W4386000810","https://openalex.org/W4399800566","https://openalex.org/W4408864972"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"PodaVR":[2,109],"a":[3,15,111],"virtual":[4],"reality":[5],"training":[6,123],"system":[7,33,85],"for":[8,63,116],"cherry":[9],"tree":[10,103],"pruning.":[11],"The":[12,32,45,105],"application":[13],"integrates":[14],"procedural":[16,118],"generation":[17,58],"engine":[18],"based":[19],"on":[20,97],"parametric":[21],"L-System":[22],"grammars,":[23],"specifically":[24],"designed":[25],"to":[26],"follow":[27],"the":[28,98,102],"KGB":[29],"pruning":[30,36],"model.":[31],"simulates":[34],"interactive":[35],"scenarios":[37],"with":[38,87],"3D":[39],"representations":[40],"of":[41,52,101],"procedurally":[42],"generated":[43],"trees.":[44],"generative":[46],"algorithm":[47],"was":[48],"evaluated":[49],"in":[50],"terms":[51],"completeness,":[53],"frame":[54,75,88],"rate":[55,76],"performance,":[56,86],"and":[57,93,113],"time,":[59],"confirming":[60],"its":[61],"feasibility":[62],"real-time":[64],"immersive":[65,121],"applications.":[66],"Performance":[67],"metrics":[68],"were":[69],"collected":[70],"directly":[71],"from":[72],"Unity,":[73],"including":[74],"trends":[77],"across":[78],"different":[79],"complexity":[80],"levels.":[81],"Results":[82],"indicate":[83],"stable":[84],"rates":[89],"ranging":[90],"between":[91],"60":[92],"130":[94],"FPS":[95],"depending":[96],"structural":[99],"density":[100],"models.":[104],"findings":[106],"confirm":[107],"that":[108],"provides":[110],"robust":[112],"efficient":[114],"framework":[115],"integrating":[117],"modeling":[119],"into":[120],"agricultural":[122],"environments.":[124]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-12T00:00:00"}