{"id":"https://openalex.org/W3207795530","doi":"https://doi.org/10.1109/igarss47720.2021.9554055","title":"Early Detection of Root-Knot Nematode (Meloidogyne Incognita) Infestation in Cotton Using Hyperspectral Data","display_name":"Early Detection of Root-Knot Nematode (Meloidogyne Incognita) Infestation in Cotton Using Hyperspectral Data","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207795530","doi":"https://doi.org/10.1109/igarss47720.2021.9554055","mag":"3207795530"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5019337252","display_name":"Sathishkumar Samiappan","orcid":"https://orcid.org/0000-0002-8443-883X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathishkumar Samiappan","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049980865","display_name":"Raju Bheemanahalli","orcid":"https://orcid.org/0000-0002-9325-4901"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raju Bheemanahalli","raw_affiliation_strings":["Mississippi State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072527192","display_name":"Meilun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meilun Zhou","raw_affiliation_strings":["Geosystems Research Institute, Mississippi State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geosystems Research Institute, Mississippi State University","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064030041","display_name":"John P. Brooks","orcid":"https://orcid.org/0000-0002-6142-6430"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Brooks","raw_affiliation_strings":["USDA-ARS, Mississippi State, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USDA-ARS, Mississippi State, MS","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041217850","display_name":"Martin J. Wubben","orcid":"https://orcid.org/0000-0002-8056-0272"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Wubben","raw_affiliation_strings":["USDA-ARS, Mississippi State, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USDA-ARS, Mississippi State, MS","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":2.6606,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9080414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5849","last_page":"5852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11179","display_name":"Nematode management and characterization studies","score":0.9889000058174133,"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"}},"topics":[{"id":"https://openalex.org/T11179","display_name":"Nematode management and characterization studies","score":0.9889000058174133,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9857000112533569,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9638000130653381,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9163218140602112},{"id":"https://openalex.org/keywords/meloidogyne-incognita","display_name":"Meloidogyne incognita","score":0.8562890291213989},{"id":"https://openalex.org/keywords/infestation","display_name":"Infestation","score":0.6924035549163818},{"id":"https://openalex.org/keywords/root-knot-nematode","display_name":"Root-knot nematode","score":0.5459864735603333},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.5423747301101685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.441959947347641},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4241545796394348},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.4118727743625641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.405465304851532},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4025042653083801},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.37637731432914734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35222703218460083},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.3500633239746094},{"id":"https://openalex.org/keywords/nematode","display_name":"Nematode","score":0.34256917238235474},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.12705856561660767},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12068057060241699},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10058331489562988},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07402780652046204}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9163218140602112},{"id":"https://openalex.org/C2780617777","wikidata":"https://www.wikidata.org/wiki/Q628493","display_name":"Meloidogyne incognita","level":3,"score":0.8562890291213989},{"id":"https://openalex.org/C2776451879","wikidata":"https://www.wikidata.org/wiki/Q1292038","display_name":"Infestation","level":2,"score":0.6924035549163818},{"id":"https://openalex.org/C2776207046","wikidata":"https://www.wikidata.org/wiki/Q2215256","display_name":"Root-knot nematode","level":3,"score":0.5459864735603333},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.5423747301101685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.441959947347641},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4241545796394348},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.4118727743625641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.405465304851532},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4025042653083801},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.37637731432914734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35222703218460083},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.3500633239746094},{"id":"https://openalex.org/C2778830712","wikidata":"https://www.wikidata.org/wiki/Q5185","display_name":"Nematode","level":2,"score":0.34256917238235474},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.12705856561660767},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12068057060241699},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10058331489562988},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07402780652046204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1338762623","display_name":null,"funder_award_id":"58-6064-9-007","funder_id":"https://openalex.org/F4320306114","funder_display_name":"U.S. Department of Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1984232434","https://openalex.org/W2008761579","https://openalex.org/W2092243407","https://openalex.org/W4230375458"],"related_works":["https://openalex.org/W2806539014","https://openalex.org/W2166817352","https://openalex.org/W2243699106","https://openalex.org/W2317110421","https://openalex.org/W2554105383","https://openalex.org/W2255679575","https://openalex.org/W2970091688","https://openalex.org/W2766485715","https://openalex.org/W2264233933","https://openalex.org/W2044487371"],"abstract_inverted_index":{"Leaf":[0],"reflectance":[1,46],"data":[2,90,114,152],"acquired":[3],"using":[4,47,150],"spectrometers":[5],"contain":[6],"rich":[7],"spectral":[8],"information":[9],"that":[10,133],"enables":[11],"the":[12,40,65,70,75,110,117,134,138,141,154],"classification":[13,71],"of":[14,42,112,128,144],"plants":[15],"into":[16,109],"subtly":[17],"different":[18],"classes.":[19],"The":[20],"southern":[21],"root-knot":[22],"nematode":[23],"(RKN)":[24],"(Meloidogyne":[25],"incognita),":[26],"a":[27,48,87],"soilborne":[28],"roundworm,":[29],"threatens":[30],"cotton":[31,63,145],"and":[32,77,81,100,120],"other":[33],"crops.":[34],"In":[35],"this":[36],"research,":[37],"we":[38],"study":[39,69,93,104],"effect":[41,135],"RKN":[43,61,129,139],"on":[44,140],"leaf":[45],"spectrometer":[49,119],"under":[50],"controlled-environmental":[51],"conditions.":[52,102],"We":[53,68,131],"applied":[54],"statistical":[55],"supervised":[56,88],"learning":[57],"algorithms":[58],"to":[59],"classify":[60],"infested":[62],"from":[64,116],"control":[66],"group.":[67],"accuracy":[72],"by":[73,137],"selecting":[74],"visible":[76],"near-infrared":[78],"spectra":[79,83],"(350-2500nm)":[80],"partial":[82],"(350\u20131":[84],"000nm)":[85],"as":[86],"classifier":[89],"set.":[91],"Our":[92],"also":[94],"investigates":[95],"temporal":[96],"misalignments":[97],"between":[98],"training":[99],"testing":[101],"This":[103],"will":[105],"provide":[106],"valuable":[107],"insight":[108],"use":[111],"hyperspectral":[113,151],"collected":[115],"handheld":[118],"small":[121],"unmanned":[122],"aerial":[123],"systems":[124],"for":[125],"largescale":[126],"mapping":[127],"infestation.":[130],"found":[132],"caused":[136],"root":[142],"system":[143],"can":[146],"be":[147],"non-invasively":[148],"diagnosed":[149],"at":[153],"early":[155],"growth":[156],"stage.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
