{"id":"https://openalex.org/W4400411663","doi":"https://doi.org/10.1109/access.2024.3424908","title":"Tomato-Nerf: Advancing Tomato Model Reconstruction With Improved Neural Radiance Fields","display_name":"Tomato-Nerf: Advancing Tomato Model Reconstruction With Improved Neural Radiance Fields","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400411663","doi":"https://doi.org/10.1109/access.2024.3424908"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3424908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3424908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3424908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040535676","display_name":"Xiajun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiajun Zheng","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-7697-8877","affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113358577","display_name":"Xinyi Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi AI","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103918914","display_name":"Hao Qin","orcid":"https://orcid.org/0000-0002-1462-9868"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Qin","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057124196","display_name":"Jiacheng Rong","orcid":"https://orcid.org/0000-0001-8859-7048"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Rong","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101994004","display_name":"Zhiqin Zhang","orcid":"https://orcid.org/0000-0002-7850-4503"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqin Zhang","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102849727","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0002-0815-2776"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882267","display_name":"Ting Yuan","orcid":"https://orcid.org/0000-0002-5401-6257"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yuan","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115591090","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-9791-9763"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["College of Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.0891,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.97346069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"184206","last_page":"184215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9958999752998352,"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":0.9958999752998352,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9873999953269958,"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":0.9506999850273132,"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/computer-science","display_name":"Computer science","score":0.7689306735992432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49046561121940613},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4354977607727051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4250867962837219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689306735992432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49046561121940613},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4354977607727051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4250867962837219},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3424908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3424908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a02cac5cd66e4f08b97b04b14308718f","is_oa":true,"landing_page_url":"https://doaj.org/article/a02cac5cd66e4f08b97b04b14308718f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 184206-184215 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3424908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3424908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2729492193","display_name":null,"funder_award_id":"NK202315020107","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2064076387","https://openalex.org/W2107037534","https://openalex.org/W2519683295","https://openalex.org/W2894116595","https://openalex.org/W3007110468","https://openalex.org/W3018748550","https://openalex.org/W3092572016","https://openalex.org/W3114462840","https://openalex.org/W3124668286","https://openalex.org/W3130253709","https://openalex.org/W3137711069","https://openalex.org/W3172046386","https://openalex.org/W3203570626","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4281796415","https://openalex.org/W4296019789","https://openalex.org/W4298148810","https://openalex.org/W4312706422","https://openalex.org/W4317937897","https://openalex.org/W4360611662","https://openalex.org/W4378450585","https://openalex.org/W4379056476","https://openalex.org/W6797770180","https://openalex.org/W6798033281","https://openalex.org/W6804124378","https://openalex.org/W6838746019","https://openalex.org/W6855497543"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,96,114,151],"real-time":[1,169],"simulation":[2],"of":[3,33,44,57,116],"large-scale":[4],"agricultural":[5,170],"operations":[6],"will":[7],"offer":[8],"farmers":[9],"data-driven":[10],"and":[11,91,104,143,157],"physically":[12],"consistent":[13],"decision":[14],"support,":[15],"facilitated":[16],"by":[17,121],"predictive":[18,24],"digital":[19,25],"twins.":[20],"To":[21],"construct":[22],"a":[23,39,63,165],"twin,":[26],"the":[27,122,146],"initial":[28],"step":[29],"involves":[30],"3D":[31,42],"reconstruction":[32,43,56,149,162],"plant":[34,148],"geometry.":[35],"In":[36],"this":[37],"paper,":[38],"high-resolution,":[40],"accurate":[41],"tomato":[45,58,147],"plants,":[46],"Tomato-NeRF,":[47],"is":[48,51,119,155],"proposed,":[49],"which":[50],"specially":[52],"used":[53,62],"for":[54,102,168],"three-dimensional":[55],"plants.":[59],"Our":[60],"approach":[61,118],"modular":[64],"design":[65],"to":[66,79,82,110,124],"integrate":[67],"ideas":[68],"from":[69,129],"their":[70],"research":[71],"paper":[72],"into":[73],"Tomato-NeRF.":[74],"By":[75],"using":[76],"hash":[77],"encoding":[78],"map":[80],"coordinates":[81],"trainable":[83],"feature":[84],"vectors,":[85],"we":[86],"balance":[87],"quality,":[88],"memory":[89],"usage,":[90],"performance":[92],"in":[93,145],"NeRF":[94],"training.":[95],"proposal":[97],"sampler":[98],"targets":[99],"key":[100],"regions":[101],"rendering,":[103],"customized":[105],"loss":[106],"functions":[107],"are":[108],"designed":[109],"optimize":[111],"specific":[112],"tasks.":[113],"effectiveness":[115],"our":[117],"demonstrated":[120],"ability":[123],"generate":[125],"high-resolution":[126],"geometric":[127],"models":[128],"phone":[130],"camera":[131],"data.":[132],"Comparative":[133],"results":[134],"show":[135],"that":[136],"Tomato-NeRF":[137],"has":[138],"significant":[139],"advantages":[140],"over":[141],"Instant-NGP":[142],"MipNeRF":[144],"task.":[150],"data":[152],"acquisition":[153],"method":[154],"simpler":[156],"more":[158],"efficient":[159],"than":[160],"other":[161],"methods,":[163],"providing":[164],"practical":[166],"solution":[167],"simulations.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}