{"id":"https://openalex.org/W2953889296","doi":"https://doi.org/10.1145/3321707.3321809","title":"Statistical learning in soil sampling design aided by pareto optimization","display_name":"Statistical learning in soil sampling design aided by pareto optimization","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2953889296","doi":"https://doi.org/10.1145/3321707.3321809","mag":"2953889296"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321809","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037304249","display_name":"Assaf Israeli","orcid":null},"institutions":[{"id":"https://openalex.org/I68147069","display_name":"Tel Hai Academic College","ror":"https://ror.org/009st3569","country_code":"IL","type":"education","lineage":["https://openalex.org/I68147069"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Assaf Israeli","raw_affiliation_strings":["Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel","institution_ids":["https://openalex.org/I68147069"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007378438","display_name":"Michael Emmerich","orcid":"https://orcid.org/0000-0002-7342-2090"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael Emmerich","raw_affiliation_strings":["Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085918423","display_name":"M. Iggy Litaor","orcid":"https://orcid.org/0000-0003-2115-4845"},"institutions":[{"id":"https://openalex.org/I68147069","display_name":"Tel Hai Academic College","ror":"https://ror.org/009st3569","country_code":"IL","type":"education","lineage":["https://openalex.org/I68147069"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michael (Iggy) Litaor","raw_affiliation_strings":["Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel","institution_ids":["https://openalex.org/I68147069"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063665644","display_name":"Ofer M. Shir","orcid":"https://orcid.org/0000-0002-8257-5160"},"institutions":[{"id":"https://openalex.org/I68147069","display_name":"Tel Hai Academic College","ror":"https://ror.org/009st3569","country_code":"IL","type":"education","lineage":["https://openalex.org/I68147069"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ofer M. Shir","raw_affiliation_strings":["Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Hai College and MIGAL Research Institute, Upper Galilee, Israel","institution_ids":["https://openalex.org/I68147069"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5515,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8011522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1198","last_page":"1205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9990000128746033,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9990000128746033,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9908999800682068,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7236073017120361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887338161468506},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5704095959663391},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.5660210847854614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5442282557487488},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5189530849456787},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5153919458389282},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4814150035381317},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4385106861591339},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31677716970443726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30112677812576294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1810111105442047}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7236073017120361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887338161468506},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5704095959663391},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.5660210847854614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5442282557487488},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5189530849456787},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5153919458389282},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4814150035381317},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4385106861591339},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31677716970443726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30112677812576294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1810111105442047},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321707.3321809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321809","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W565780990","https://openalex.org/W1497996722","https://openalex.org/W1584322866","https://openalex.org/W1845321886","https://openalex.org/W1965555277","https://openalex.org/W1984477365","https://openalex.org/W2007873570","https://openalex.org/W2017010640","https://openalex.org/W2023312901","https://openalex.org/W2051947720","https://openalex.org/W2074717268","https://openalex.org/W2126105956","https://openalex.org/W2142635246","https://openalex.org/W2168854738","https://openalex.org/W2274451877","https://openalex.org/W2296098731","https://openalex.org/W2300958255","https://openalex.org/W2501181346","https://openalex.org/W2501939363","https://openalex.org/W2523588181","https://openalex.org/W2670904616","https://openalex.org/W2793276571","https://openalex.org/W2807637204","https://openalex.org/W2899919154","https://openalex.org/W3144749065","https://openalex.org/W4229562638","https://openalex.org/W4242405356","https://openalex.org/W4255750059"],"related_works":["https://openalex.org/W2075598034","https://openalex.org/W2048805712","https://openalex.org/W2548795680","https://openalex.org/W4238714840","https://openalex.org/W329462478","https://openalex.org/W2350399852","https://openalex.org/W1567644694","https://openalex.org/W2964635321","https://openalex.org/W1492433974","https://openalex.org/W2383809451"],"abstract_inverted_index":{"Effective":[0],"soil-sampling":[1],"is":[2,27,53,168],"essential":[3],"for":[4,14,46,88,92,113,152],"the":[5,35,56,68,73,78,94,120,140],"construction":[6],"of":[7,18,50,58,67,80],"prescription":[8],"maps":[9,52],"used":[10,87],"in":[11,77,144,170],"Precision":[12],"Agriculture":[13],"Variable":[15],"Rate":[16],"Application":[17],"nutrients.":[19],"In":[20],"practice,":[21],"designing":[22],"a":[23,40,172,177],"field":[24,83],"sampling":[25,59,96,103,142,174],"plan":[26],"subject":[28],"to":[29,34,159],"hard":[30],"limitations,":[31],"merely":[32],"due":[33],"associated":[36],"expenses,":[37],"where":[38],"only":[39],"few":[41],"sample":[42],"points":[43],"are":[44],"taken":[45],"evaluation.":[47],"The":[48,98],"accuracy":[49],"constructed":[51],"affected":[54],"by":[55],"number":[57],"points,":[60],"their":[61,65],"geographical":[62],"dispersion":[63],"and":[64,117,133,148,155,182],"coverage":[66,116],"feature":[69],"space.":[70],"To":[71],"improve":[72],"accuracy,":[74],"ancillary":[75,107,121],"data":[76],"form":[79],"low-cost,":[81],"high-resolution":[82],"scans":[84],"could":[85],"be":[86],"inferring":[89],"statistical":[90,150],"measures":[91],"devising":[93],"high-cost":[95],"plan.":[97],"current":[99],"study":[100],"targets":[101],"algorithmically-guided":[102],"plans":[104,143],"using":[105,136],"available":[106],"data.":[108,122],"We":[109,123,138,163],"propose":[110],"possible":[111],"models":[112,125],"quantifying":[114],"spatial":[115],"diversity":[118],"concerning":[119],"investigate":[124],"as":[126],"objective":[127],"functions,":[128],"devise":[129],"Pareto":[130],"optimization":[131],"problems":[132],"solve":[134],"them":[135],"NSGA-II.":[137],"analyzed":[139],"obtained":[141],"an":[145],"agricultural":[146],"field,":[147],"suggest":[149],"tools":[151],"sample-size":[153],"determination":[154],"plans'":[156],"ranking":[157],"according":[158],"additional":[160],"information":[161],"criteria.":[162],"argue":[164],"that":[165],"our":[166],"approach":[167],"successful":[169],"attaining":[171],"practical":[173],"plan,":[175],"constituting":[176],"fine":[178],"trade-off":[179],"between":[180],"objectives,":[181],"possessing":[183],"no":[184],"discrepancies.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}