{"id":"https://openalex.org/W2904285812","doi":"https://doi.org/10.1109/geoinformatics.2018.8557119","title":"Spatial Prediction of Soil Moisture Content in Winter Wheat Based on Machine Learning Model","display_name":"Spatial Prediction of Soil Moisture Content in Winter Wheat Based on Machine Learning Model","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2904285812","doi":"https://doi.org/10.1109/geoinformatics.2018.8557119","mag":"2904285812"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","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/A5112655925","display_name":"Hongmei Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongmei Nie","raw_affiliation_strings":["Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","College of Urban and Environmental Sciences, Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024993457","display_name":"Yang Lian-an","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianan Yang","raw_affiliation_strings":["Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","College of Urban and Environmental Sciences, Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112480966","display_name":"Xinyao Li","orcid":"https://orcid.org/0000-0001-8895-3858"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Li","raw_affiliation_strings":["Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","College of Urban and Environmental Sciences, Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089593815","display_name":"Li Ren","orcid":"https://orcid.org/0000-0002-4003-8826"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ren","raw_affiliation_strings":["Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","College of Urban and Environmental Sciences, Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924655","display_name":"Jinhao Xu","orcid":"https://orcid.org/0000-0003-3244-7969"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhao Xu","raw_affiliation_strings":["Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","College of Urban and Environmental Sciences, Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an, 710127, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Urban and Environmental Sciences, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101245034","display_name":"Yongtao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151102","display_name":"Baoji City Central Hospital","ror":"https://ror.org/05xfh8p29","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210151102"]},{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Feng","raw_affiliation_strings":["Baoji Agricultural Technology Extension Service Centre, Baoji, Shaanxi, 721001, China","Baoji Agricultural Technology Extension Service Centre, Baoji, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Baoji Agricultural Technology Extension Service Centre, Baoji, Shaanxi, 721001, China","institution_ids":["https://openalex.org/I2799293361","https://openalex.org/I4210151102"]},{"raw_affiliation_string":"Baoji Agricultural Technology Extension Service Centre, Baoji, Shaanxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112655925"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":0.4018,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.63566134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.7743154764175415},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6636408567428589},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6406207084655762},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6130655407905579},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6085440516471863},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.5355451107025146},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5332975387573242},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.4777742624282837},{"id":"https://openalex.org/keywords/relative-humidity","display_name":"Relative humidity","score":0.45794007182121277},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.44970226287841797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44939523935317993},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43115729093551636},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.332897424697876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2502676844596863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.17267301678657532},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13399824500083923},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11729779839515686},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08699730038642883},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.07685071229934692}],"concepts":[{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.7743154764175415},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6636408567428589},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6406207084655762},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6130655407905579},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6085440516471863},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.5355451107025146},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5332975387573242},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.4777742624282837},{"id":"https://openalex.org/C158960510","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Relative humidity","level":2,"score":0.45794007182121277},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.44970226287841797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44939523935317993},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43115729093551636},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.332897424697876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2502676844596863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.17267301678657532},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13399824500083923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11729779839515686},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08699730038642883},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.07685071229934692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1516757624","https://openalex.org/W1563088657","https://openalex.org/W1963692058","https://openalex.org/W2012168456","https://openalex.org/W2020097894","https://openalex.org/W2076196252","https://openalex.org/W2096428843","https://openalex.org/W2123521755","https://openalex.org/W2124351082","https://openalex.org/W2156909104","https://openalex.org/W2352698539","https://openalex.org/W2367922999","https://openalex.org/W2393129636","https://openalex.org/W2394318608","https://openalex.org/W3140968321"],"related_works":["https://openalex.org/W2086997807","https://openalex.org/W2369482644","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W1996758189","https://openalex.org/W2418019036","https://openalex.org/W3191198889","https://openalex.org/W4399767560","https://openalex.org/W4401154840"],"abstract_inverted_index":{"Soil":[0],"moisture":[1,19,61,165,179,226],"is":[2,26,244],"one":[3],"of":[4,11,17,24,30,41,70,100,138,173,185,203,215,242,262,268],"the":[5,9,21,53,59,97,112,120,135,144,154,169,182,201,213,219,231,240,247,260,266],"important":[6,28],"factors":[7],"affecting":[8],"growth":[10,22],"crops.":[12],"Accurate":[13],"monitoring":[14],"and":[15,44,64,88,104,108,116,124,130,134,142,148,205,227,236,249],"forecasting":[16],"soil":[18,45,60,66,110,164,178,190,225,254,263],"in":[20,47,62,106,126,132,166,177,188,197],"period":[23],"crops":[25],"an":[27],"part":[29],"agricultural":[31],"production.":[32],"In":[33],"this":[34],"study,":[35],"15":[36],"predictors":[37,216],"from":[38],"three":[39,77,155,186],"aspects":[40],"meteorology,":[42],"topography":[43,243],"properties":[46],"Baoji":[48],"were":[49,80,102,114,122,140,146,192],"selected":[50],"to":[51,57],"establish":[52],"machine":[54,83,174],"learning":[55,175],"model":[56,176,202],"predict":[58],"0~20cm":[63,107,189],"20~40cm":[65,109],"layers.":[67],"The":[68,93,150],"prediction":[69,98,127,136,159,183,210],"same":[71],"data":[72],"was":[73],"carried":[74],"out":[75],"by":[76],"models,":[78],"which":[79,230,246,265],"support":[81],"vector":[82],"(SVM),":[84],"random":[85],"forest":[86],"(RF)":[87],"back-propagation":[89],"neural":[90],"network":[91],"(BPNN).":[92],"results":[94],"showed":[95,217],"that":[96,153,196,218],"accuracy":[99,137,184],"SVM":[101,207],"92.899%":[103],"92.656%":[105],"layers,":[111],"RMSE":[113,145],"7.521":[115],"8.011":[117],"respectively,":[118],"while":[119],"RF":[121,204],"87.632%":[123],"87.842%":[125],"accuracy,":[128],"10.759":[129],"11.042":[131],"RMSE,":[133],"BPNN":[139],"80.570%":[141],"85.323%,":[143],"12.147":[147],"11.165.":[149],"study":[151],"found":[152],"models":[156,187],"have":[157,251],"good":[158,170],"effect":[160,258],"on":[161,224,259],"winter":[162],"wheat":[163],"Baoji,":[167],"reflecting":[168],"application":[171],"ability":[172],"prediction.":[180],"And":[181,212],"layer":[191],"slightly":[193,272],"better":[194,209],"than":[195,275],"20~40cm.":[198],"Compared":[199],"with":[200],"BP,":[206],"has":[208,221,256,271],"results.":[211],"analysis":[214],"meteorology":[220],"greatest":[222],"impact":[223],"its":[228],"changes,":[229],"precipitation,":[232],"air":[233],"relative":[234],"humidity":[235],"sunshine":[237],"duration":[238],"most;":[239],"effects":[241],"relative,":[245],"slope":[248],"elevation":[250],"great":[252],"influence;":[253],"property":[255],"little":[257],"change":[261],"moisture,":[264],"thickness":[267],"plough":[269],"layers":[270],"stronger":[273],"influence":[274],"other":[276],"factors.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}