{"id":"https://openalex.org/W2891255519","doi":"https://doi.org/10.1155/2018/8696202","title":"Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy","display_name":"Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy","publication_year":2018,"publication_date":"2018-09-19","ids":{"openalex":"https://openalex.org/W2891255519","doi":"https://doi.org/10.1155/2018/8696202","mag":"2891255519"},"language":"en","primary_location":{"id":"doi:10.1155/2018/8696202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8696202","pdf_url":"http://downloads.hindawi.com/journals/jece/2018/8696202.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/jece/2018/8696202.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102888366","display_name":"Chao Ni","orcid":"https://orcid.org/0000-0002-3492-627X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Chao Ni","raw_affiliation_strings":["Bio-Imaging and Machine Vision Lab, Fischell Department of Bioengineering, University of Maryland, College Park 20740, USA","School of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0002-3492-627X","affiliations":[{"raw_affiliation_string":"Bio-Imaging and Machine Vision Lab, Fischell Department of Bioengineering, University of Maryland, College Park 20740, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356842","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0003-2773-9086"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018361664","display_name":"Dongyi Wang","orcid":"https://orcid.org/0000-0002-1224-5529"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongyi Wang","raw_affiliation_strings":["Bio-Imaging and Machine Vision Lab, Fischell Department of Bioengineering, University of Maryland, College Park 20740, USA"],"raw_orcid":"https://orcid.org/0000-0002-1224-5529","affiliations":[{"raw_affiliation_string":"Bio-Imaging and Machine Vision Lab, Fischell Department of Bioengineering, University of Maryland, College Park 20740, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102888366"],"corresponding_institution_ids":["https://openalex.org/I167027274","https://openalex.org/I66946132"],"apc_list":{"value":925,"currency":"USD","value_usd":925},"apc_paid":{"value":925,"currency":"USD","value_usd":925},"fwci":0.874,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68902665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9984999895095825,"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/T11796","display_name":"Horticultural and Viticultural Research","score":0.9872000217437744,"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/water-content","display_name":"Water content","score":0.6877643465995789},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.685840368270874},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5316346883773804},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.528340220451355},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5049658417701721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48872971534729004},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4691029489040375},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.46699726581573486},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.4524286687374115},{"id":"https://openalex.org/keywords/seedling","display_name":"Seedling","score":0.4464320242404938},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4290945529937744},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35238370299339294},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3508005142211914},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.3342890739440918},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.29537081718444824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27422094345092773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1958920657634735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16580736637115479},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1330726444721222},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1136445701122284},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10849419236183167},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09112924337387085},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08333206176757812},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08124729990959167}],"concepts":[{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.6877643465995789},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.685840368270874},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5316346883773804},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.528340220451355},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5049658417701721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48872971534729004},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4691029489040375},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.46699726581573486},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.4524286687374115},{"id":"https://openalex.org/C2776096895","wikidata":"https://www.wikidata.org/wiki/Q1385709","display_name":"Seedling","level":2,"score":0.4464320242404938},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4290945529937744},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35238370299339294},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3508005142211914},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.3342890739440918},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.29537081718444824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27422094345092773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1958920657634735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16580736637115479},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1330726444721222},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1136445701122284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10849419236183167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09112924337387085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08333206176757812},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08124729990959167},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/8696202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8696202","pdf_url":"http://downloads.hindawi.com/journals/jece/2018/8696202.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de726a51c9d3471b80983cf9f54b81f7","is_oa":true,"landing_page_url":"https://doaj.org/article/de726a51c9d3471b80983cf9f54b81f7","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":"Journal of Electrical and Computer Engineering, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/8696202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8696202","pdf_url":"http://downloads.hindawi.com/journals/jece/2018/8696202.pdf","source":{"id":"https://openalex.org/S174662166","display_name":"Journal of Electrical and Computer Engineering","issn_l":"2090-0147","issn":["2090-0147","2090-0155"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electrical and Computer Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5}],"awards":[{"id":"https://openalex.org/G7584042363","display_name":null,"funder_award_id":"NSFC: 31570714","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8429380377","display_name":null,"funder_award_id":"31570714","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891255519.pdf","grobid_xml":"https://content.openalex.org/works/W2891255519.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1988975411","https://openalex.org/W1990895816","https://openalex.org/W1991675868","https://openalex.org/W1991754220","https://openalex.org/W2014736305","https://openalex.org/W2024509774","https://openalex.org/W2073381841","https://openalex.org/W2073503722","https://openalex.org/W2086190455","https://openalex.org/W2136922672","https://openalex.org/W2145094598","https://openalex.org/W2308983515","https://openalex.org/W2354667435","https://openalex.org/W2556907438","https://openalex.org/W2753296392","https://openalex.org/W2788805965","https://openalex.org/W2789290525","https://openalex.org/W2792388868","https://openalex.org/W2793084056","https://openalex.org/W2801688348","https://openalex.org/W2804755586","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2046744435","https://openalex.org/W3011201302","https://openalex.org/W3158648238","https://openalex.org/W3115262167","https://openalex.org/W2085256839"],"abstract_inverted_index":{"Masson":[0],"pine":[1,13],"is":[2,16,35,41,65],"widely":[3],"planted":[4],"in":[5,37,58,134,145],"southern":[6],"China,":[7],"and":[8,45,80,106,127,137,142],"moisture":[9,30,93,119],"content":[10,48,120],"of":[11,24],"the":[12,22,38,54,111],"seedling":[14],"leaves":[15],"an":[17],"important":[18],"index":[19],"for":[20,72,90,117],"evaluating":[21],"vigor":[23],"seedlings.":[25],"For":[26],"precisely":[27,91],"predicting":[28,92],"leaf":[29,118],"content,":[31],"near-infrared":[32],"spectroscopy":[33,55,98],"analysis":[34,56,63,99],"applied":[36],"experiment,":[39],"which":[40,67],"a":[42,61,69,81],"cost-effective,":[43],"high-speed,":[44],"noninvasive":[46],"material":[47],"prediction":[49,146],"tool.":[50],"To":[51],"further":[52],"improve":[53],"accuracy,":[57],"this":[59],"study,":[60],"new":[62],"model":[64,85,113],"proposed":[66,112],"integrates":[68],"stacked":[70],"autoencoder":[71],"extracting":[73],"hierarchical":[74],"output-related":[75],"features":[76,89],"layer":[77,79],"by":[78],"support":[82,108],"vector":[83,109],"regression":[84,105],"to":[86],"leverage":[87],"these":[88],"contents.":[94],"Compared":[95],"with":[96,122],"traditional":[97],"method":[100],"like":[101],"partial":[102],"least":[103],"squares":[104],"basic":[107],"regression,":[110],"shows":[114],"great":[115],"superiority":[116],"prediction,":[121],"R":[123,138],"2":[124,139],"value":[125,132,140],"0.9946":[126],"root-mean":[128],"squared":[129],"error":[130],"(RMSE)":[131],"0.1636":[133],"calibration":[135],"set":[136],"0.9621":[141],"RMSE":[143],"0.4249":[144],"set.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}