{"id":"https://openalex.org/W3207363630","doi":"https://doi.org/10.3390/rs13163322","title":"Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning","display_name":"Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning","publication_year":2021,"publication_date":"2021-08-22","ids":{"openalex":"https://openalex.org/W3207363630","doi":"https://doi.org/10.3390/rs13163322","mag":"3207363630"},"language":"en","primary_location":{"id":"doi:10.3390/rs13163322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163322","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3322/pdf?version=1629642610","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/16/3322/pdf?version=1629642610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101489737","display_name":"Dan Li","orcid":"https://orcid.org/0000-0002-0391-6490"},"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"]},{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China","Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158","https://openalex.org/I4210103524"]},{"raw_affiliation_string":"Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014540441","display_name":"Yuxin Miao","orcid":"https://orcid.org/0000-0001-8419-6511"},"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":true,"raw_author_name":"Yuxin Miao","raw_affiliation_strings":["Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020041101","display_name":"Sanjay Gupta","orcid":"https://orcid.org/0000-0003-1714-3895"},"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":"Sanjay K. Gupta","raw_affiliation_strings":["Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084357281","display_name":"Carl J. Rosen","orcid":"https://orcid.org/0000-0002-0098-2230"},"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":"Carl J. Rosen","raw_affiliation_strings":["Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Precision Agriculture Center, Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048791595","display_name":"Fei Yuan","orcid":"https://orcid.org/0000-0001-6979-0029"},"institutions":[{"id":"https://openalex.org/I152014189","display_name":"Minnesota State University, Mankato","ror":"https://ror.org/04att9732","country_code":"US","type":"education","lineage":["https://openalex.org/I152014189","https://openalex.org/I91221267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Yuan","raw_affiliation_strings":["Department of Geography, Minnesota State University, Mankato, MN 56001, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography, Minnesota State University, Mankato, MN 56001, USA","institution_ids":["https://openalex.org/I152014189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700777","display_name":"Chongyang Wang","orcid":"https://orcid.org/0000-0002-8495-1262"},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Wang","raw_affiliation_strings":["Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158","https://openalex.org/I4210103524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336074","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-6597-5533"},"institutions":[{"id":"https://openalex.org/I4210103524","display_name":"Guangdong Academy of Sciences","ror":"https://ror.org/01g9hkj35","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210103524"]},{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Research Center of Guangdong Province for Engineering Technology Application of Remote Sensing Big Data, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158","https://openalex.org/I4210103524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006023502","display_name":"Yanbo Huang","orcid":"https://orcid.org/0000-0002-1409-8868"},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanbo Huang","raw_affiliation_strings":["Genetics and Sustainable Agriculture Research Unit, United States Department of Agriculture-Agricultural Research Service, Starkville, MS 39762, USA"],"affiliations":[{"raw_affiliation_string":"Genetics and Sustainable Agriculture Research Unit, United States Department of Agriculture-Agricultural Research Service, Starkville, MS 39762, USA","institution_ids":["https://openalex.org/I1336096307","https://openalex.org/I1312222531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5014540441"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":9.7792,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98646554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"16","first_page":"3322","last_page":"3322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11745","display_name":"Potato Plant Research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cultivar","display_name":"Cultivar","score":0.8898418545722961},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.647822380065918},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.6040256023406982},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5976684093475342},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.478034108877182},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4252732992172241},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3835919201374054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36349067091941833},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.34827858209609985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3213921785354614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3016229569911957},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1713736653327942},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16425234079360962}],"concepts":[{"id":"https://openalex.org/C197321923","wikidata":"https://www.wikidata.org/wiki/Q4886","display_name":"Cultivar","level":2,"score":0.8898418545722961},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.647822380065918},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.6040256023406982},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5976684093475342},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.478034108877182},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4252732992172241},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3835919201374054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36349067091941833},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.34827858209609985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3213921785354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3016229569911957},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1713736653327942},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16425234079360962},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13163322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163322","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3322/pdf?version=1629642610","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3ce38b2ae40b4c83b9b3f9694fb49501","is_oa":true,"landing_page_url":"https://doaj.org/article/3ce38b2ae40b4c83b9b3f9694fb49501","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 16, p 3322 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/16/3322/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13163322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 16; Pages: 3322","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13163322","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163322","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3322/pdf?version=1629642610","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1630520296","display_name":null,"funder_award_id":"State project 1016571","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"},{"id":"https://openalex.org/G3791833351","display_name":null,"funder_award_id":"MDA-CRP 2018","funder_id":"https://openalex.org/F4320308162","funder_display_name":"Minnesota Department of Agriculture"},{"id":"https://openalex.org/G5956521802","display_name":null,"funder_award_id":"58-6066-0-047 AMD 1","funder_id":"https://openalex.org/F4320332605","funder_display_name":"Agricultural Research Service"}],"funders":[{"id":"https://openalex.org/F4320308162","display_name":"Minnesota Department of Agriculture","ror":"https://ror.org/02rxnmn30"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320332605","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207363630.pdf","grobid_xml":"https://content.openalex.org/works/W3207363630.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W838762844","https://openalex.org/W1004916625","https://openalex.org/W1964217023","https://openalex.org/W2000613913","https://openalex.org/W2012686349","https://openalex.org/W2025967407","https://openalex.org/W2063623478","https://openalex.org/W2077707413","https://openalex.org/W2082076195","https://openalex.org/W2096996101","https://openalex.org/W2103652457","https://openalex.org/W2112674101","https://openalex.org/W2113410727","https://openalex.org/W2113433479","https://openalex.org/W2122659719","https://openalex.org/W2145197939","https://openalex.org/W2161815745","https://openalex.org/W2171400093","https://openalex.org/W2302208561","https://openalex.org/W2509887125","https://openalex.org/W2549129456","https://openalex.org/W2589102138","https://openalex.org/W2612050314","https://openalex.org/W2769091209","https://openalex.org/W2792872474","https://openalex.org/W2891621712","https://openalex.org/W2895151671","https://openalex.org/W2899093335","https://openalex.org/W2905660920","https://openalex.org/W2921949367","https://openalex.org/W2945347896","https://openalex.org/W2963935416","https://openalex.org/W2964415981","https://openalex.org/W2964679249","https://openalex.org/W2999811886","https://openalex.org/W3000369451","https://openalex.org/W3005966820","https://openalex.org/W3007045993","https://openalex.org/W3011218807","https://openalex.org/W3031263341","https://openalex.org/W3036232790","https://openalex.org/W3038986268","https://openalex.org/W3041239306","https://openalex.org/W3079760979","https://openalex.org/W3084223441","https://openalex.org/W3086446917","https://openalex.org/W3088162569","https://openalex.org/W3092406175","https://openalex.org/W3099701207","https://openalex.org/W3110183921","https://openalex.org/W3122921778","https://openalex.org/W3130168656","https://openalex.org/W3138968966","https://openalex.org/W3150095517","https://openalex.org/W4230567857","https://openalex.org/W4248268077","https://openalex.org/W6611698223","https://openalex.org/W6636950212","https://openalex.org/W6746405244","https://openalex.org/W6754544098"],"related_works":["https://openalex.org/W1549359706","https://openalex.org/W2121067293","https://openalex.org/W2056130536","https://openalex.org/W2388864357","https://openalex.org/W4247488263","https://openalex.org/W2783786780","https://openalex.org/W2022235180","https://openalex.org/W2793915314","https://openalex.org/W1484808483","https://openalex.org/W1985653416"],"abstract_inverted_index":{"Accurate":[0],"high-resolution":[1],"yield":[2,9,16,36,51,141,168,227,242],"maps":[3],"are":[4,237],"essential":[5],"for":[6,166,191,205],"identifying":[7],"spatial":[8],"variability":[10],"patterns,":[11],"determining":[12],"key":[13],"factors":[14],"influencing":[15],"variability,":[17],"and":[18,74,82,101,162,178,216,250,253],"providing":[19],"site-specific":[20],"management":[21,254],"insights":[22],"in":[23,80],"precision":[24],"agriculture.":[25],"Cultivar":[26],"differences":[27],"can":[28,223],"significantly":[29,195,224],"influence":[30],"potato":[31,50,139,167,226,241],"(Solanum":[32],"tuberosum":[33],"L.)":[34],"tuber":[35,130,153],"prediction":[37,52,169,228,243],"using":[38,53,181,219,232,244],"remote":[39,58,183],"sensing":[40,59,184],"technologies.":[41],"The":[42,173],"objective":[43],"of":[44,175],"this":[45],"study":[46],"was":[47,117,186,194,200],"to":[48,108,239],"improve":[49,225,240],"unmanned":[54],"aerial":[55],"vehicle":[56],"(UAV)":[57],"by":[60],"incorporating":[61],"cultivar":[62,114,198,217,233,247],"information":[63,199,218],"with":[64,113,138,171],"machine":[65,220,261],"learning":[66,94,221,262],"methods.":[67],"Small":[68],"plot":[69],"experiments":[70],"involving":[71],"different":[72,110],"cultivars":[73],"nitrogen":[75],"(N)":[76],"rates":[77],"were":[78,87,106,135],"conducted":[79],"2018":[81],"2019.":[83],"UAV-based":[84,120],"multi-spectral":[85],"images":[86,215],"collected":[88],"throughout":[89],"the":[90,124,129,143,147,152,157,163,176],"growing":[91,126,149],"season.":[92],"Machine":[93],"models,":[95],"i.e.,":[96],"random":[97],"forest":[98],"regression":[99,104],"(RFR)":[100],"support":[102],"vector":[103],"(SVR),":[105],"used":[107],"combine":[109],"vegetation":[111,160],"indices":[112,161],"information.":[115,234],"It":[116,207],"found":[118],"that":[119,210],"spectral":[121,144],"data":[122,145,185],"from":[123,146],"early":[125],"season":[127,150],"at":[128,151],"initiation":[131],"stage":[132],"(late":[133],"June)":[134],"more":[136,245,259],"correlated":[137],"marketable":[140],"than":[142,229],"later":[148],"maturation":[154],"stage.":[155],"However,":[156],"best":[158,164],"performing":[159],"timing":[165],"varied":[170],"cultivars.":[172],"performance":[174],"RFR":[177],"SVR":[179],"models":[180],"only":[182],"unsatisfactory":[187],"(R2":[188,202],"=":[189,203],"0.48\u20130.51":[190],"validation)":[192],"but":[193],"improved":[196],"when":[197],"incorporated":[201],"0.75\u20130.79":[204],"validation).":[206],"is":[208],"concluded":[209],"combining":[211],"high":[212],"spatial-resolution":[213],"UAV":[214],"algorithms":[222],"methods":[230],"without":[231],"More":[235],"studies":[236],"needed":[238],"detailed":[246],"information,":[248,255],"soil":[249],"landscape":[251],"variables,":[252],"as":[256,258],"well":[257],"advanced":[260],"models.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-10-25T00:00:00"}