{"id":"https://openalex.org/W4387971125","doi":"https://doi.org/10.1007/s10462-023-10617-x","title":"Machine learning for food security: current status, challenges, and future perspectives","display_name":"Machine learning for food security: current status, challenges, and future perspectives","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387971125","doi":"https://doi.org/10.1007/s10462-023-10617-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-023-10617-x","doi":"https://doi.org/10.1007/s10462-023-10617-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-023-10617-x","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-3021390/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073945123","display_name":"Noureddine Jarray","orcid":"https://orcid.org/0000-0002-4417-7663","observed_orcids":["https://orcid.org/0000-0002-4417-7663"]},"institutions":[{"id":"https://openalex.org/I4210111747","display_name":"Institut des R\u00e9gions Arides","ror":"https://ror.org/01hwc7828","country_code":"TN","type":"facility","lineage":["https://openalex.org/I4210111747"]},{"id":"https://openalex.org/I4405260920","display_name":"National School of Computer Science","ror":"https://ror.org/04g1met76","country_code":"TN","type":"education","lineage":["https://openalex.org/I4405260920"]},{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Noureddine Jarray","raw_affiliation_strings":["Arid Regions Institute (IRA), University of Gabes, Medenine, Tunisia","RIADI Laboratory, National School of Computer Science, Manouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arid Regions Institute (IRA), University of Gabes, Medenine, Tunisia","institution_ids":["https://openalex.org/I4210111747","https://openalex.org/I68916915"]},{"raw_affiliation_string":"RIADI Laboratory, National School of Computer Science, Manouba, Tunisia","institution_ids":["https://openalex.org/I4405260920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073221047","display_name":"Ali Ben Abbes","orcid":"https://orcid.org/0000-0001-5714-7562","observed_orcids":["https://orcid.org/0000-0001-5714-7562"]},"institutions":[{"id":"https://openalex.org/I4405260920","display_name":"National School of Computer Science","ror":"https://ror.org/04g1met76","country_code":"TN","type":"education","lineage":["https://openalex.org/I4405260920"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ali Ben Abbes","raw_affiliation_strings":["RIADI Laboratory, National School of Computer Science, Manouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIADI Laboratory, National School of Computer Science, Manouba, Tunisia","institution_ids":["https://openalex.org/I4405260920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053542801","display_name":"Imed Riadh Farah","orcid":"https://orcid.org/0000-0001-9114-5659","observed_orcids":["https://orcid.org/0000-0001-9114-5659"]},"institutions":[{"id":"https://openalex.org/I4405260920","display_name":"National School of Computer Science","ror":"https://ror.org/04g1met76","country_code":"TN","type":"education","lineage":["https://openalex.org/I4405260920"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Imed Riadh Farah","raw_affiliation_strings":["RIADI Laboratory, National School of Computer Science, Manouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIADI Laboratory, National School of Computer Science, Manouba, Tunisia","institution_ids":["https://openalex.org/I4405260920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073945123"],"corresponding_institution_ids":["https://openalex.org/I4210111747","https://openalex.org/I4405260920","https://openalex.org/I68916915"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":3.1851,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91803756,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"56","issue":"S3","first_page":"3853","last_page":"3876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9369999766349792,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9369999766349792,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.057500001043081284,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/food-security","display_name":"food security","score":0.9350000023841858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9049999713897705},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9950000047683716},{"id":"https://openalex.org/keywords/cropland-mapping","display_name":"cropland mapping","score":0.9919999837875366},{"id":"https://openalex.org/keywords/crop-classification","display_name":"crop classification","score":0.953000009059906},{"id":"https://openalex.org/keywords/crop-yield-prediction","display_name":"crop yield prediction","score":1.0},{"id":"https://openalex.org/keywords/field-delineation","display_name":"field delineation","score":0.9869999885559082},{"id":"https://openalex.org/keywords/data-heterogeneity","display_name":"data heterogeneity","score":0.7599999904632568},{"id":"https://openalex.org/keywords/computational-challenges","display_name":"computational challenges","score":0.718999981880188},{"id":"https://openalex.org/keywords/evaluation-challenges","display_name":"assessment challenges","score":0.703000009059906}],"concepts":[{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.847583532333374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733062744140625},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.629957377910614},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.5858348608016968},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5240985155105591},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47566694021224976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44150957465171814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3868027925491333},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.21116399765014648},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.08619874715805054},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10462-023-10617-x","doi":"https://doi.org/10.1007/s10462-023-10617-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-023-10617-x","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-3021390/v1","doi":"https://doi.org/10.21203/rs.3.rs-3021390/v1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21203/rs.3.rs-3021390/v1","pdf_url":"https://www.researchsquare.com/article/rs-3021390/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-3021390/v1","doi":"https://doi.org/10.21203/rs.3.rs-3021390/v1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.21203/rs.3.rs-3021390/v1","pdf_url":"https://www.researchsquare.com/article/rs-3021390/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.991100013256073}],"study_designs":[{"display_name":"Systematic Review","id":"https://openalex.org/study-designs/systematic-review"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387971125.pdf","grobid_xml":"https://content.openalex.org/works/W4387971125.grobid-xml"},"referenced_works_count":109,"referenced_works":["https://openalex.org/W1986072339","https://openalex.org/W2010979673","https://openalex.org/W2014847057","https://openalex.org/W2067055509","https://openalex.org/W2121025662","https://openalex.org/W2182100314","https://openalex.org/W2271894183","https://openalex.org/W2342806270","https://openalex.org/W2503629267","https://openalex.org/W2562673748","https://openalex.org/W2592712793","https://openalex.org/W2604645045","https://openalex.org/W2610268286","https://openalex.org/W2612890152","https://openalex.org/W2724717168","https://openalex.org/W2734691593","https://openalex.org/W2767126550","https://openalex.org/W2783608381","https://openalex.org/W2792356296","https://openalex.org/W2921455922","https://openalex.org/W2944794516","https://openalex.org/W2945600159","https://openalex.org/W2949642792","https://openalex.org/W2954392248","https://openalex.org/W2954664657","https://openalex.org/W2963935416","https://openalex.org/W2969011938","https://openalex.org/W2969945043","https://openalex.org/W2979666105","https://openalex.org/W2981870521","https://openalex.org/W2982484732","https://openalex.org/W2983217144","https://openalex.org/W2984353870","https://openalex.org/W2986339177","https://openalex.org/W2989925718","https://openalex.org/W2996041315","https://openalex.org/W2996101843","https://openalex.org/W2999884014","https://openalex.org/W3000627240","https://openalex.org/W3026974350","https://openalex.org/W3029014910","https://openalex.org/W3033496625","https://openalex.org/W3034749675","https://openalex.org/W3036779102","https://openalex.org/W3048168082","https://openalex.org/W3049266285","https://openalex.org/W3086184474","https://openalex.org/W3097296466","https://openalex.org/W3097487134","https://openalex.org/W3111174758","https://openalex.org/W3154229188","https://openalex.org/W3157994709","https://openalex.org/W3158709878","https://openalex.org/W3160113844","https://openalex.org/W3164445154","https://openalex.org/W3168485926","https://openalex.org/W3182380878","https://openalex.org/W3196327550","https://openalex.org/W3198376164","https://openalex.org/W3200856369","https://openalex.org/W3204785944","https://openalex.org/W3206974959","https://openalex.org/W3207745768","https://openalex.org/W3212748383","https://openalex.org/W3214149306","https://openalex.org/W3216540000","https://openalex.org/W4200397128","https://openalex.org/W4206679763","https://openalex.org/W4206966223","https://openalex.org/W4210622501","https://openalex.org/W4210779026","https://openalex.org/W4212770395","https://openalex.org/W4212847838","https://openalex.org/W4213422123","https://openalex.org/W4214913043","https://openalex.org/W4220823118","https://openalex.org/W4221052072","https://openalex.org/W4224096758","https://openalex.org/W4238802018","https://openalex.org/W4240965474","https://openalex.org/W4256103721","https://openalex.org/W4281250178","https://openalex.org/W4281386443","https://openalex.org/W4283525372","https://openalex.org/W4283743888","https://openalex.org/W4283751324","https://openalex.org/W4285189205","https://openalex.org/W4285240469","https://openalex.org/W4289172908","https://openalex.org/W4290755553","https://openalex.org/W4310145646","https://openalex.org/W4310382565","https://openalex.org/W4311258283","https://openalex.org/W4311529515","https://openalex.org/W4312109322","https://openalex.org/W4313585330","https://openalex.org/W4318705125","https://openalex.org/W4320712078","https://openalex.org/W4322630607","https://openalex.org/W4367057991","https://openalex.org/W4376139108","https://openalex.org/W4377082101","https://openalex.org/W4379117830","https://openalex.org/W4383959668","https://openalex.org/W4386989462","https://openalex.org/W6600100092","https://openalex.org/W6600212061","https://openalex.org/W6603308362","https://openalex.org/W6894181639"],"related_works":["https://openalex.org/W7084384550","https://openalex.org/W7204069639","https://openalex.org/W3216540000","https://openalex.org/W4408485056","https://openalex.org/W3214898490","https://openalex.org/W4410079859","https://openalex.org/W7024951245","https://openalex.org/W7213650148","https://openalex.org/W7160712721","https://openalex.org/W4412397630"],"abstract_inverted_index":{"Abstract":[0,2,3],"Graphical":[1],"Recently,":[4],"machine":[5],"learning":[6],"(ML)":[7],"models":[8,47],"have":[9,25],"been":[10,26],"widely":[11],"applied":[12],"to":[13,39],"support":[14],"food":[15,50,74,92],"security":[16,51,75,93],"using":[17,87],"heterogeneous":[18,98],"and":[19,43,62,78,89,97,102],"complex":[20,96],"data.":[21],"Thus,":[22],"several":[23],"papers":[24],"published":[27],"in":[28,49,91,95],"this":[29],"context.":[30],"The":[31],"current":[32],"manuscript":[33],"exposes":[34],"a":[35,69],"systematic":[36],"literature":[37,66],"review":[38,67],"investigate":[40],"various":[41],"ML":[42,77,88],"Deep":[44],"Learning":[45],"(DL)":[46],"used":[48],"tasks":[52],"(e.g.":[53],"cropland":[54],"mapping,":[55,58],"crop":[56,59],"type":[57],"yield":[60],"prediction":[61],"field":[63],"delineation).":[64],"This":[65],"identifies":[68],"clear":[70],"end-to-end":[71],"process":[72],"of":[73,86],"employing":[76],"DL":[79,90],"models.":[80],"Eventually,":[81],"it":[82],"summarizes":[83],"the":[84],"challenges":[85],"analysis":[94],"data,":[99],"computational":[100],"analysis,":[101],"evaluation":[103],"challenges.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2023-10-28T00:00:00"}
