{"id":"https://openalex.org/W4311791745","doi":"https://doi.org/10.3390/rs14246330","title":"VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce","display_name":"VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4311791745","doi":"https://doi.org/10.3390/rs14246330"},"language":"en","primary_location":{"id":"doi:10.3390/rs14246330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246330","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6330/pdf?version=1671026457","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/2072-4292/14/24/6330/pdf?version=1671026457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073225829","display_name":"Renan Falcioni","orcid":"https://orcid.org/0000-0002-2343-5045"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Renan Falcioni","raw_affiliation_strings":["Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019801126","display_name":"Jo\u00e3o Vitor Ferreira Gon\u00e7alves","orcid":"https://orcid.org/0000-0001-7377-7070"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Vitor Ferreira Gon\u00e7alves","raw_affiliation_strings":["Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090480015","display_name":"Karym Mayara de Oliveira","orcid":"https://orcid.org/0000-0002-1880-4256"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Karym Mayara de Oliveira","raw_affiliation_strings":["Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072651615","display_name":"Werner Camargos Antunes","orcid":"https://orcid.org/0000-0001-8430-2791"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Werner Camargos Antunes","raw_affiliation_strings":["Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040950081","display_name":"Marcos Rafael Nanni","orcid":"https://orcid.org/0000-0003-4854-2661"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Rafael Nanni","raw_affiliation_strings":["Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Agronomy, Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073225829"],"corresponding_institution_ids":["https://openalex.org/I123443094"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.9693,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93191527,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"14","issue":"24","first_page":"6330","last_page":"6330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9980999827384949,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9980999827384949,"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":0.9970999956130981,"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":0.9965000152587891,"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/chemometrics","display_name":"Chemometrics","score":0.8971353769302368},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8328550457954407},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.8300158977508545},{"id":"https://openalex.org/keywords/absorbance","display_name":"Absorbance","score":0.6865976452827454},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6257186532020569},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.6156677007675171},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5541104674339294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4458011984825134},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4089803397655487},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40791624784469604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3898110091686249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3615148663520813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24812689423561096},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2044554054737091},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0985659658908844},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08058813214302063}],"concepts":[{"id":"https://openalex.org/C151304367","wikidata":"https://www.wikidata.org/wiki/Q910067","display_name":"Chemometrics","level":2,"score":0.8971353769302368},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8328550457954407},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.8300158977508545},{"id":"https://openalex.org/C98015330","wikidata":"https://www.wikidata.org/wiki/Q907315","display_name":"Absorbance","level":2,"score":0.6865976452827454},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6257186532020569},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.6156677007675171},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5541104674339294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4458011984825134},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4089803397655487},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40791624784469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3898110091686249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3615148663520813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24812689423561096},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2044554054737091},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0985659658908844},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08058813214302063},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14246330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246330","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6330/pdf?version=1671026457","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:9be7bb0f9e384c679c8aacaf77608911","is_oa":true,"landing_page_url":"https://doaj.org/article/9be7bb0f9e384c679c8aacaf77608911","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 14, Iss 24, p 6330 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/24/6330/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14246330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 24; Pages: 6330","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14246330","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246330","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6330/pdf?version=1671026457","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/2","display_name":"Zero hunger","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G5859020988","display_name":null,"funder_award_id":"001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311791745.pdf","grobid_xml":"https://content.openalex.org/works/W4311791745.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1944729816","https://openalex.org/W1978063637","https://openalex.org/W1998387661","https://openalex.org/W2024700522","https://openalex.org/W2032021769","https://openalex.org/W2125521845","https://openalex.org/W2149771065","https://openalex.org/W2245710736","https://openalex.org/W2278608768","https://openalex.org/W2286471756","https://openalex.org/W2492307518","https://openalex.org/W2535364365","https://openalex.org/W2568614653","https://openalex.org/W2612355489","https://openalex.org/W2620668763","https://openalex.org/W2739691828","https://openalex.org/W2747652156","https://openalex.org/W2749661704","https://openalex.org/W2769862293","https://openalex.org/W2772365169","https://openalex.org/W2790363406","https://openalex.org/W2793261105","https://openalex.org/W2807699548","https://openalex.org/W2885989949","https://openalex.org/W2897320514","https://openalex.org/W2901420733","https://openalex.org/W2903404264","https://openalex.org/W2948354716","https://openalex.org/W2954236833","https://openalex.org/W2976445252","https://openalex.org/W2978534123","https://openalex.org/W2995728200","https://openalex.org/W3014923875","https://openalex.org/W3016617720","https://openalex.org/W3028193527","https://openalex.org/W3034850012","https://openalex.org/W3046837871","https://openalex.org/W3081613787","https://openalex.org/W3082252834","https://openalex.org/W3087637679","https://openalex.org/W3091469287","https://openalex.org/W3137973365","https://openalex.org/W3171675991","https://openalex.org/W4206313479","https://openalex.org/W4210411011","https://openalex.org/W4212788109","https://openalex.org/W4213051565","https://openalex.org/W4214586439","https://openalex.org/W4223572002","https://openalex.org/W4224325502","https://openalex.org/W4225421473","https://openalex.org/W4281625763","https://openalex.org/W4289102312","https://openalex.org/W4296047027","https://openalex.org/W4304688458","https://openalex.org/W6680497045","https://openalex.org/W6690693003","https://openalex.org/W6743089356","https://openalex.org/W6768785193","https://openalex.org/W6781773115"],"related_works":["https://openalex.org/W2407219380","https://openalex.org/W4242267125","https://openalex.org/W2323190800","https://openalex.org/W2589728448","https://openalex.org/W3158648238","https://openalex.org/W2017786325","https://openalex.org/W2024103282","https://openalex.org/W3115262167","https://openalex.org/W2343541729","https://openalex.org/W3132103859"],"abstract_inverted_index":{"VIS-NIR-SWIR":[0,55,234],"hyperspectroscopy":[1,235],"is":[2,25],"a":[3,26,90,144,256],"significant":[4],"technique":[5],"used":[6,89,142],"in":[7,34,41,73,92,108,173],"remote":[8,257],"sensing":[9,258],"for":[10,60],"classification":[11,61],"of":[12,38,43,64,70,75,157,164,233,266],"prediction-based":[13],"chemometrics":[14],"and":[15,22,62,67,78,96,106,126,138,153,170,203,209,218,229,239,245,250,272],"machine":[16,123],"learning.":[17],"Chemometrics,":[18],"together":[19],"with":[20,119,149,168,183,242,251],"biophysical":[21,169],"biochemical":[23,171],"parameters,":[24],"laborious":[27],"technique;":[28],"however,":[29],"researchers":[30],"are":[31],"very":[32],"interested":[33],"this":[35,48,86,116],"field":[36],"because":[37],"the":[39,52,83,93,109,150,158,162,177,214,227,231,263],"benefits":[40],"terms":[42,74],"optimizing":[44],"crop":[45],"yields.":[46],"In":[47],"study,":[49],"we":[50,88,225],"investigated":[51],"hypothesis":[53],"that":[54],"could":[56,194],"be":[57,141,180,195],"efficiently":[58],"applied":[59],"prediction":[63],"leaf":[65],"thickness":[66,193],"pigment":[68],"profiling":[69],"green":[71,174,270],"lettuce":[72,271],"reflectance,":[76],"transmittance,":[77],"absorbance":[79,217],"data":[80,121,160,241],"according":[81,212],"to":[82,146,179,187,213,236],"variety.":[84],"For":[85],"purpose,":[87],"spectroradiometer":[91],"visible,":[94],"near-infrared,":[95],"shortwave":[97],"ranges":[98],"(VIS-NIR-SWIR).":[99],"The":[100,155],"results":[101],"showed":[102,201],"many":[103],"chemometric":[104],"parameters":[105,190],"fingerprints":[107,156],"400\u20132500":[110],"nm":[111],"spectral":[112],"curve":[113],"range.":[114],"Therefore,":[115],"technique,":[117],"combined":[118],"rapid":[120,252],"mining,":[122],"learning":[124],"algorithms,":[125],"other":[127,273],"multivariate":[128],"statistical":[129],"analyses":[130],"such":[131,191,268],"as":[132,143,192,269],"PCA,":[133],"MCR,":[134],"LDA,":[135],"SVM,":[136],"KNN,":[137],"PLSR,":[139],"can":[140,261],"tool":[145],"classify":[147,238],"plants":[148,178,274],"highest":[151],"accuracy":[152,185,244],"precision.":[154],"hyperspectral":[159],"indicated":[161],"presence":[163],"functional":[165],"groups":[166],"associated":[167],"components":[172],"lettuce,":[175],"allowing":[176],"correctly":[181],"classified":[182],"higher":[184],"(99":[186],"100%).":[188],"Biophysical":[189],"predicted":[196],"using":[197,275],"PLSR":[198],"models,":[199],"which":[200,260],"R2P":[202],"RMSEP":[204],"values":[205],"greater":[206],"than":[207],"&gt;0.991":[208],"6.21,":[210],"respectively,":[211],"relationship":[215],"between":[216],"reflectance":[219],"or":[220],"transmittance":[221],"spectroscopy":[222],"curves.":[223],"Thus,":[224],"report":[226],"methodology":[228],"confirm":[230],"ability":[232],"simultaneously":[237],"predict":[240],"high":[243],"precision,":[246],"at":[247],"low":[248],"cost":[249],"acquisition,":[253],"based":[254],"on":[255],"tool,":[259],"enable":[262],"successful":[264],"management":[265],"crops":[267],"precision":[276],"agriculture":[277],"systems.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
