{"id":"https://openalex.org/W4391218351","doi":"https://doi.org/10.3390/s24030770","title":"Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning","display_name":"Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning","publication_year":2024,"publication_date":"2024-01-24","ids":{"openalex":"https://openalex.org/W4391218351","doi":"https://doi.org/10.3390/s24030770","pmid":"https://pubmed.ncbi.nlm.nih.gov/38339487"},"language":"en","primary_location":{"id":"doi:10.3390/s24030770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030770","pdf_url":"https://www.mdpi.com/1424-8220/24/3/770/pdf?version=1706111154","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/3/770/pdf?version=1706111154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101536570","display_name":"Florian Huber","orcid":"https://orcid.org/0000-0002-6485-1942"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Florian Huber","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093785945","display_name":"Alvin Inderka","orcid":"https://orcid.org/0009-0009-0590-6876"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alvin Inderka","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":"https://orcid.org/0009-0009-0590-6876","affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071509474","display_name":"Volker Steinhage","orcid":"https://orcid.org/0000-0002-3172-3645"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Volker Steinhage","raw_affiliation_strings":["Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3172-3645","affiliations":[{"raw_affiliation_string":"Department of Computer Science IV, University of Bonn, 53121 Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071509474","https://openalex.org/A5101536570"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":9.7952,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98498888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"3","first_page":"770","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9772999882698059,"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.7865557670593262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917070150375366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978275537490845},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5888577103614807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5407590270042419},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.44912174344062805},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.41437479853630066},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4117277264595032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3683757483959198},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2346043586730957}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7865557670593262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917070150375366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978275537490845},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5888577103614807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5407590270042419},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.44912174344062805},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.41437479853630066},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4117277264595032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3683757483959198},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2346043586730957},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24030770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030770","pdf_url":"https://www.mdpi.com/1424-8220/24/3/770/pdf?version=1706111154","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:38339487","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38339487","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10857376","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10857376","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10857376/pdf/sensors-24-00770.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:18fe9d39048e46798b8a604140b68e54","is_oa":true,"landing_page_url":"https://doaj.org/article/18fe9d39048e46798b8a604140b68e54","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":"Sensors, Vol 24, Iss 3, p 770 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24030770","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24030770","pdf_url":"https://www.mdpi.com/1424-8220/24/3/770/pdf?version=1706111154","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1887370606","display_name":null,"funder_award_id":"KZ 28DK128B20","funder_id":"https://openalex.org/F4320323499","funder_display_name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft"},{"id":"https://openalex.org/G6338671427","display_name":null,"funder_award_id":"FKZ 28DK128B20","funder_id":"https://openalex.org/F4320323499","funder_display_name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft"}],"funders":[{"id":"https://openalex.org/F4320323499","display_name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft","ror":"https://ror.org/04jw21793"},{"id":"https://openalex.org/F4320326464","display_name":"Bundesamt f\u00fcr Landwirtschaft","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391218351.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2062118960","https://openalex.org/W2108598243","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2560647685","https://openalex.org/W2575615142","https://openalex.org/W2604645045","https://openalex.org/W2786462443","https://openalex.org/W2809537360","https://openalex.org/W2949676527","https://openalex.org/W2971339032","https://openalex.org/W3021674700","https://openalex.org/W3023931079","https://openalex.org/W3079760979","https://openalex.org/W3142909427","https://openalex.org/W3146610246","https://openalex.org/W3164809178","https://openalex.org/W4200059535","https://openalex.org/W4205587104","https://openalex.org/W4211049957","https://openalex.org/W4224308360","https://openalex.org/W4282837814","https://openalex.org/W4296970127","https://openalex.org/W4324142429","https://openalex.org/W4362576259","https://openalex.org/W4376137947","https://openalex.org/W4386838123","https://openalex.org/W4389113716","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,108,295],"data":[2,48,56,75,82,127,161,238,296,315],"represent":[3],"one":[4],"of":[5,114,121,141,153,202,251,260,264,270,283,300],"the":[6,33,132,139,151,160,203,237,249,298],"most":[7],"important":[8],"sources":[9],"for":[10,156,174,285,290],"automized":[11],"yield":[12,157,175,189,193,253,291,305],"prediction.":[13],"High":[14],"temporal":[15,200],"and":[16,23,74,116,130,177,206,220,227,266,278,293,310],"spatial":[17],"resolution,":[18],"historical":[19],"record":[20],"availability,":[21],"reliability,":[22],"low":[24],"cost":[25],"are":[26,49,72,112,128,245,316],"key":[27],"factors":[28],"in":[29,255,262,268,297,308],"predicting":[30],"yields":[31,71],"around":[32],"world.":[34],"Yield":[35],"prediction":[36,176,190,194,254,292],"as":[37,44,80,217],"a":[38,63,169,199,241,258],"machine":[39],"learning":[40,104,118,155,172,209,214,277,288],"task":[41],"is":[42,165],"challenging,":[43],"reliable":[45,314],"ground":[46,142],"truth":[47,143],"difficult":[50],"to":[51,85,95,134,182,191,223,247,273],"obtain,":[52],"especially":[53,307],"since":[54],"new":[55],"points":[57],"can":[58,77,98,302],"only":[59],"be":[60,78,86,99],"acquired":[61],"once":[62],"year":[64],"during":[65],"harvest.":[66],"Factors":[67],"that":[68],"influence":[69],"annual":[70],"plentiful,":[73],"acquisition":[76],"expensive,":[79],"crop-related":[81],"often":[83],"need":[84],"captured":[87],"by":[88,101,210,239,257],"experts":[89],"or":[90],"specialized":[91],"sensors.":[92],"A":[93],"solution":[94],"both":[96],"problems":[97],"provided":[100],"deep":[102,170],"transfer":[103,117,154,171,183,208,213,229,276,287],"based":[105],"on":[106],"remote":[107,294],"data.":[109],"Satellite":[110],"images":[111],"free":[113],"charge,":[115],"allows":[119],"recognition":[120],"yield-related":[122],"patterns":[123,235],"within":[124,195,236],"countries":[125],"where":[126,159,313],"plentiful":[129],"transfers":[131],"knowledge":[133,184],"other":[135],"domains,":[136],"thus":[137],"limiting":[138],"number":[140],"observations":[144],"needed.":[145],"Within":[146],"this":[147],"study,":[148],"we":[149,232],"examine":[150],"use":[152],"prediction,":[158,306],"preprocessing":[162],"towards":[163],"histograms":[164,301],"unique.":[166],"We":[167,197,244],"present":[168],"framework":[173],"demonstrate":[178],"its":[179],"successful":[180,304],"application":[181],"gained":[185],"from":[186],"US":[187],"soybean":[188,192,252],"Argentina.":[196],"perform":[198],"alignment":[201],"two":[204],"domains":[205],"improve":[207,248],"applying":[211,240],"several":[212],"techniques,":[215],"such":[216],"L2-SP,":[218],"BSS,":[219],"layer":[221],"freezing,":[222],"overcome":[224],"catastrophic":[225],"forgetting":[226],"negative":[228],"problems.":[230],"Lastly,":[231],"exploit":[233],"spatio-temporal":[234],"Gaussian":[242,279],"process.":[243],"able":[246],"performance":[250],"Argentina":[256],"total":[259],"19%":[261],"terms":[263,269],"RMSE":[265],"39%":[267],"R2":[271],"compared":[272],"predictions":[274],"without":[275],"processes.":[280],"This":[281],"proof":[282],"concept":[284],"advanced":[286],"techniques":[289],"form":[299],"enable":[303],"emerging":[309],"developing":[311],"countries,":[312],"usually":[317],"limited.":[318]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}