{"id":"https://openalex.org/W4390877841","doi":"https://doi.org/10.3390/rs16020341","title":"Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology via Machine Learning Methods","display_name":"Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology via Machine Learning Methods","publication_year":2024,"publication_date":"2024-01-15","ids":{"openalex":"https://openalex.org/W4390877841","doi":"https://doi.org/10.3390/rs16020341"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020341","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020341","pdf_url":"https://www.mdpi.com/2072-4292/16/2/341/pdf?version=1705321583","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/2072-4292/16/2/341/pdf?version=1705321583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104229082","display_name":"Cenhanyi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cenhanyi Hu","raw_affiliation_strings":["School of Environmental Studies, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Environmental Studies, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002547014","display_name":"Shun Hu","orcid":"https://orcid.org/0000-0002-5638-6438"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shun Hu","raw_affiliation_strings":["School of Environmental Studies, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Environmental Studies, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081833712","display_name":"Linglin Zeng","orcid":"https://orcid.org/0000-0002-6659-2702"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linglin Zeng","raw_affiliation_strings":["College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102591105","display_name":"Keyu Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Meng","raw_affiliation_strings":["School of Environmental Studies, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Environmental Studies, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110377023","display_name":"Zilong Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Liao","raw_affiliation_strings":["Institute of Water Resources for Pastoral Area Ministry of Water Resources, Hohhot 010020, China"],"affiliations":[{"raw_affiliation_string":"Institute of Water Resources for Pastoral Area Ministry of Water Resources, Hohhot 010020, China","institution_ids":["https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029308310","display_name":"Kuang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141300","display_name":"Anhui and Huaihe River Institute of Hydraulic Research","ror":"https://ror.org/04bymxx89","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141300","https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuang Wang","raw_affiliation_strings":["Anhui and Huaihe River Institute of Hydraulic Research, Hefei 230088, China"],"affiliations":[{"raw_affiliation_string":"Anhui and Huaihe River Institute of Hydraulic Research, Hefei 230088, China","institution_ids":["https://openalex.org/I4210141300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002547014"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8959,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83701175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"341","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9922999739646912,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/phenology","display_name":"Phenology","score":0.7130385637283325},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.5645751357078552},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5385642051696777},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4946701228618622},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.4867708683013916},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4622345566749573},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.4524374008178711},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.42044946551322937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3695143759250641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3380972146987915},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.3306516408920288},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.295329749584198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28401464223861694},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.21713578701019287},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.16295886039733887},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.15124598145484924},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12527671456336975},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07311108708381653}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.7130385637283325},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.5645751357078552},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5385642051696777},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4946701228618622},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.4867708683013916},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4622345566749573},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.4524374008178711},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.42044946551322937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3695143759250641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3380972146987915},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3306516408920288},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.295329749584198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28401464223861694},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.21713578701019287},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.16295886039733887},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.15124598145484924},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12527671456336975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07311108708381653},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16020341","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020341","pdf_url":"https://www.mdpi.com/2072-4292/16/2/341/pdf?version=1705321583","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:7ccb58f940e34d199b3694680fc1a823","is_oa":true,"landing_page_url":"https://doaj.org/article/7ccb58f940e34d199b3694680fc1a823","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 341 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16020341","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020341","pdf_url":"https://www.mdpi.com/2072-4292/16/2/341/pdf?version=1705321583","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":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4380492598","display_name":null,"funder_award_id":"42207098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322723","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390877841.pdf"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W11137323","https://openalex.org/W1057605271","https://openalex.org/W1838764073","https://openalex.org/W1894514722","https://openalex.org/W1965142343","https://openalex.org/W1966365112","https://openalex.org/W1968148624","https://openalex.org/W1975226273","https://openalex.org/W1976895395","https://openalex.org/W1983614388","https://openalex.org/W1987297838","https://openalex.org/W1988712392","https://openalex.org/W2008089464","https://openalex.org/W2016721006","https://openalex.org/W2019823556","https://openalex.org/W2021885731","https://openalex.org/W2031831872","https://openalex.org/W2032469401","https://openalex.org/W2039388573","https://openalex.org/W2048692142","https://openalex.org/W2051576015","https://openalex.org/W2051914553","https://openalex.org/W2052648234","https://openalex.org/W2057498579","https://openalex.org/W2072093516","https://openalex.org/W2073555669","https://openalex.org/W2079282790","https://openalex.org/W2083117827","https://openalex.org/W2083702808","https://openalex.org/W2094397782","https://openalex.org/W2111072639","https://openalex.org/W2111947859","https://openalex.org/W2114313289","https://openalex.org/W2118563481","https://openalex.org/W2121069620","https://openalex.org/W2139086914","https://openalex.org/W2141565621","https://openalex.org/W2142967622","https://openalex.org/W2143024522","https://openalex.org/W2144023308","https://openalex.org/W2145429786","https://openalex.org/W2147146537","https://openalex.org/W2147423506","https://openalex.org/W2149380675","https://openalex.org/W2152447062","https://openalex.org/W2153989276","https://openalex.org/W2161381512","https://openalex.org/W2165551322","https://openalex.org/W2165698076","https://openalex.org/W2167705142","https://openalex.org/W2171125286","https://openalex.org/W2237123739","https://openalex.org/W2344866513","https://openalex.org/W2530087992","https://openalex.org/W2565157507","https://openalex.org/W2570595576","https://openalex.org/W2576129207","https://openalex.org/W2578887236","https://openalex.org/W2589193446","https://openalex.org/W2597128531","https://openalex.org/W2726364032","https://openalex.org/W2783728140","https://openalex.org/W2787894218","https://openalex.org/W2792973845","https://openalex.org/W2801395401","https://openalex.org/W2891765392","https://openalex.org/W2911964244","https://openalex.org/W2949642792","https://openalex.org/W2962949934","https://openalex.org/W2966160952","https://openalex.org/W2966593777","https://openalex.org/W3036537709","https://openalex.org/W3082766779","https://openalex.org/W3083721102","https://openalex.org/W3093291512","https://openalex.org/W3122708085","https://openalex.org/W3126278299","https://openalex.org/W3130461578","https://openalex.org/W3134953537","https://openalex.org/W3145072606","https://openalex.org/W3164621419","https://openalex.org/W3165319944","https://openalex.org/W3166836265","https://openalex.org/W3174075456","https://openalex.org/W3208067668","https://openalex.org/W4212883601","https://openalex.org/W4238678404","https://openalex.org/W4281699074","https://openalex.org/W4304689254","https://openalex.org/W4312039421","https://openalex.org/W4313252845","https://openalex.org/W4323268433","https://openalex.org/W4383877466","https://openalex.org/W6639664341","https://openalex.org/W6681399304","https://openalex.org/W6767298702"],"related_works":["https://openalex.org/W3197400137","https://openalex.org/W2659933339","https://openalex.org/W2364784002","https://openalex.org/W2755828367","https://openalex.org/W4383721055","https://openalex.org/W2909099826","https://openalex.org/W4214620440","https://openalex.org/W4309845446","https://openalex.org/W3212595790","https://openalex.org/W3194565370"],"abstract_inverted_index":{"Maize":[0],"gross":[1],"primary":[2],"productivity":[3],"(GPP)":[4],"contributes":[5],"the":[6,9,22,157,165,185,219,228,238,251,282,294],"most":[7],"to":[8,16,39,85,155,264],"global":[10,23],"cropland":[11],"GPP,":[12,42],"making":[13],"it":[14],"crucial":[15],"accurately":[17],"estimate":[18,40],"maize":[19,79,91,132],"GPP":[20,92,304],"for":[21,90,285,313],"carbon":[24],"cycle.":[25],"Previous":[26],"research":[27],"validated":[28],"machine":[29,103,112],"learning":[30,111],"(ML)":[31],"methods":[32,97,170,286,308],"using":[33,94],"remote":[34],"sensing":[35],"and":[36,88,109,126,137,142,161,176,182,195,204,207,214,233,242,261,289,298,309],"meteorological":[37],"data":[38,150,283],"plant":[41,303],"yet":[43],"they":[44],"disregard":[45],"vegetation":[46,117],"physiological":[47],"dynamics":[48],"driven":[49],"by":[50,258],"phenology.":[51],"Leaf":[52],"nitrogen":[53,62],"content":[54],"per":[55],"unit":[56],"leaf":[57,61],"area":[58],"(i.e.,":[59],"specific":[60],"(SLN))":[63],"greatly":[64],"affects":[65],"photosynthesis.":[66],"Its":[67],"maximum":[68],"allowable":[69],"value":[70],"correlates":[71],"with":[72],"a":[73,311],"phenological":[74],"factor":[75],"conceptualized":[76],"as":[77],"normalized":[78],"phenology":[80,297],"(NMP).":[81],"This":[82,291],"study":[83,292],"aims":[84],"validate":[86,156],"SLN":[87,160,175,241,260,269],"NMP":[89,271],"estimation":[93,249,305],"four":[95,130,168,252],"ML":[96,169,221,253,307],"(random":[98],"forest":[99],"(RF),":[100],"support":[101],"vector":[102],"(SVM),":[104],"convolutional":[105],"neutral":[106],"network":[107],"(CNN),":[108],"extreme":[110],"(ELM)).":[113],"Inputs":[114],"consist":[115],"of":[116,159,167,188,209,240,247,296],"index":[118],"(NDVI),":[119],"air":[120],"temperature,":[121],"solar":[122],"radiation":[123],"(SSR),":[124],"NMP,":[125],"SLN.":[127],"Data":[128],"from":[129,151,223],"American":[131],"flux":[133],"sites":[134,139,154,226],"(NE1,":[135],"NE2,":[136],"NE3":[138],"in":[140,145,245,302],"Nebraska":[141],"RO1":[143,229],"site":[144],"Minnesota)":[146],"were":[147,255],"gathered.":[148],"Using":[149],"three":[152,224],"NE":[153,225],"effect":[158],"MMP":[162],"shows":[163],"that":[164],"accuracy":[166],"notably":[171],"increased":[172],"after":[173],"adding":[174,259],"MMP.":[177],"Among":[178],"these":[179],"methods,":[180],"RF":[181,232],"SVM":[183],"achieved":[184],"best":[186,220],"performance":[187],"Nash\u2013Sutcliffe":[189],"efficiency":[190],"coefficient":[191,208],"(NSE)":[192],"=":[193,202,212],"0.9703":[194],"0.9706,":[196],"root":[197],"mean":[198],"square":[199],"error":[200],"(RMSE)":[201],"1.5596":[203],"1.5509":[205],"gC\u00b7m\u22122\u00b7d\u22121,":[206],"variance":[210],"(CV)":[211],"0.1508":[213],"0.1470,":[215],"respectively.":[216],"When":[217],"evaluating":[218],"models":[222,254],"at":[227],"site,":[230],"only":[231],"CNN":[234,288],"could":[235],"effectively":[236],"incorporate":[237],"impact":[239],"NMP.":[243,262],"But,":[244],"terms":[246],"unbiased":[248],"results,":[250],"comprehensively":[256],"enhanced":[257],"Due":[263],"their":[265],"fixed":[266],"relationship,":[267],"introducing":[268,278],"or":[270],"alone":[272],"might":[273],"be":[274],"more":[275],"effective":[276],"than":[277],"both":[279],"simultaneously,":[280],"considering":[281],"redundancy":[284],"like":[287],"ELM.":[290],"supports":[293],"integration":[295],"leaf-level":[299],"photosynthetic":[300],"factors":[301],"via":[306],"provides":[310],"reference":[312],"similar":[314],"research.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}