{"id":"https://openalex.org/W7213562005","doi":"https://doi.org/10.1007/s43621-026-04538-2","title":"Machine learning and remote sensing for smallholder precision agriculture in Ethiopia","display_name":"Machine learning and remote sensing for smallholder precision agriculture in Ethiopia","publication_year":2026,"publication_date":"2026-09-18","ids":{"openalex":"https://openalex.org/W7213562005","doi":"https://doi.org/10.1007/s43621-026-04538-2"},"language":"en","primary_location":{"id":"doi:10.1007/s43621-026-04538-2","doi":"https://doi.org/10.1007/s43621-026-04538-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04538-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43621-026-04538-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040865738","display_name":"Abrha Asefa","orcid":"https://orcid.org/0000-0001-9516-7257","observed_orcids":["https://orcid.org/0000-0001-9516-7257"]},"institutions":[{"id":"https://openalex.org/I3132429795","display_name":"Adigrat University","ror":"https://ror.org/0034mdn74","country_code":"ET","type":"education","lineage":["https://openalex.org/I3132429795"]}],"countries":["ET"],"is_corresponding":true,"raw_author_name":"Abrha Asefa","raw_affiliation_strings":["Department of Geography and Environmental Studies, Adigrat University, Adigrat, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Studies, Adigrat University, Adigrat, Ethiopia","institution_ids":["https://openalex.org/I3132429795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040865738"],"corresponding_institution_ids":["https://openalex.org/I3132429795"],"apc_list":{"value":1390,"currency":"USD","value_usd":1390},"apc_paid":{"value":1390,"currency":"USD","value_usd":1390},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.6571999788284302,"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":0.6571999788284302,"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":0.3411000072956085,"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":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop 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/machine-learning","display_name":"machine learning","score":0.5640000104904175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"remote sensing","score":0.9700000286102295},{"id":"https://openalex.org/keywords/implementation-gap","display_name":"implementation gap","score":0.6489999890327454},{"id":"https://openalex.org/keywords/crop-yield-prediction","display_name":"crop yield prediction","score":0.7900000214576721},{"id":"https://openalex.org/keywords/digital-soil-mapping","display_name":"digital soil mapping","score":0.9940000176429749},{"id":"https://openalex.org/keywords/scale-mismatch","display_name":"scale mismatch","score":0.6880000233650208},{"id":"https://openalex.org/keywords/intercropping","display_name":"intercropping","score":0.7609999775886536},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.7039999961853027},{"id":"https://openalex.org/keywords/tinyml","display_name":"TinyML","score":0.9890000224113464},{"id":"https://openalex.org/keywords/agricultural-extension","display_name":"agricultural extension","score":0.8920000195503235},{"id":"https://openalex.org/keywords/digital-divide","display_name":"digital divide","score":0.953000009059906},{"id":"https://openalex.org/keywords/food-security","display_name":"food security","score":0.9490000009536743},{"id":"https://openalex.org/keywords/climate-variability","display_name":"climate variability","score":0.6830000281333923},{"id":"https://openalex.org/keywords/ethiopia","display_name":"Ethiopia","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6140000224113464},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.5848000049591064},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.53329998254776},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5224999785423279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196999907493591},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C54924851","wikidata":"https://www.wikidata.org/wiki/Q2751054","display_name":"Sustainable agriculture","level":3,"score":0.47699999809265137},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C128383755","wikidata":"https://www.wikidata.org/wiki/Q3816336","display_name":"Agricultural productivity","level":3,"score":0.4535999894142151},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.44760000705718994},{"id":"https://openalex.org/C45237549","wikidata":"https://www.wikidata.org/wiki/Q1376796","display_name":"Restructuring","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C2778402112","wikidata":"https://www.wikidata.org/wiki/Q4693964","display_name":"Agricultural extension","level":3,"score":0.35910001397132874},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35569998621940613},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C1924315","wikidata":"https://www.wikidata.org/wiki/Q5187949","display_name":"Crop diversity","level":3,"score":0.3359000086784363},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.32739999890327454},{"id":"https://openalex.org/C58941895","wikidata":"https://www.wikidata.org/wiki/Q295865","display_name":"Ecosystem services","level":3,"score":0.3246000111103058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.29249998927116394},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C3987366","wikidata":"https://www.wikidata.org/wiki/Q6658164","display_name":"Livelihood","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C157005057","wikidata":"https://www.wikidata.org/wiki/Q220212","display_name":"Monoculture","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C91375879","wikidata":"https://www.wikidata.org/wiki/Q15473274","display_name":"Environmental planning","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s43621-026-04538-2","doi":"https://doi.org/10.1007/s43621-026-04538-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04538-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s43621-026-04538-2","doi":"https://doi.org/10.1007/s43621-026-04538-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04538-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.958299994468689},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[{"display_name":"Systematic Review","id":"https://openalex.org/study-designs/systematic-review"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4383498186","https://openalex.org/W7134272138","https://openalex.org/W7106223460","https://openalex.org/W7167650101","https://openalex.org/W4403017997","https://openalex.org/W7118007313","https://openalex.org/W4400451879","https://openalex.org/W7204169357","https://openalex.org/W7123499045","https://openalex.org/W4416144980"],"abstract_inverted_index":{"While":[0],"machine":[1],"learning":[2],"(ML)":[3],"and":[4,30,47,86,99,110,148,172,205,214],"remote":[5],"sensing":[6],"(RS)":[7],"are":[8,165],"frequently":[9],"heralded":[10],"as":[11,115],"the":[12,63,111,116,121,135,169,185,191,194],"definitive":[13],"solutions":[14],"for":[15,33,44,58],"agricultural":[16,129],"resilience":[17,216],"in":[18,217],"Sub-Saharan":[19],"Africa,":[20],"a":[21,91,138,149],"profound":[22],"\u2018implementation":[23],"gap\u2019":[24],"persists":[25],"between":[26,95],"laboratory-validated":[27],"computational":[28],"maturity":[29],"field-level":[31],"utility":[32],"smallholder":[34,160,218],"farmers.":[35],"This":[36,182],"systematic":[37,45],"review,":[38],"conducted":[39],"under":[40],"preferred":[41],"reporting":[42],"items":[43],"reviews":[46],"meta-analyses":[48],"(PRISMA)":[49],"2020":[50],"guidelines,":[51],"critically":[52],"analyzes":[53],"why":[54],"sophisticated":[55],"models":[56],"optimized":[57],"large-scale":[59],"monocultures":[60],"fail":[61],"within":[62,190],"fragmented,":[64],"intercropped":[65],"landscapes":[66],"of":[67,151,187,193],"Ethiopia.":[68],"By":[69],"synthesizing":[70],"empirical":[71],"evidence":[72],"across":[73],"four":[74],"domains\u2014in-season":[75],"crop":[76,212],"yield":[77],"forecasting,":[78],"digital":[79,156,170,188],"soil":[80],"mapping,":[81],"real-time":[82],"biotic":[83],"stress":[84],"detection,":[85],"agro-meteorological":[87],"modeling\u2014the":[88],"review":[89,183],"uncover":[90],"fundamental":[92],"scale":[93],"mismatch":[94],"coarse-resolution":[96],"satellite":[97],"observations":[98],"sub-hectare":[100],"micro-plots.":[101],"The":[102],"critique":[103],"identifies":[104],"localized":[105],"data":[106],"scarcity,":[107],"hardware":[108],"constraints,":[109],"\u2018last-mile\u2019":[112],"connectivity":[113],"divide":[114,171],"primary":[117],"friction":[118],"points":[119],"obstructing":[120],"transition":[122],"from":[123],"macro-level":[124],"pixels":[125],"to":[126,154,167],"actionable,":[127],"site-specific":[128],"intelligence.":[130],"Moving":[131],"beyond":[132],"simple":[133],"summary,":[134],"study":[136],"propose":[137],"strategic":[139],"roadmap":[140],"centered":[141],"on":[142],"decentralized":[143],"edge":[144],"computing,":[145],"tinyML":[146],"optimizations,":[147],"restructuring":[150],"extension":[152],"services":[153],"integrate":[155],"intelligence":[157],"into":[158],"daily":[159],"decision-making.":[161],"These":[162],"structural":[163],"shifts":[164],"essential":[166],"bridge":[168],"secure":[173],"Ethiopia\u2019s":[174],"national":[175],"food":[176],"security":[177],"against":[178],"escalating":[179],"climate":[180],"variability.":[181],"foregrounds":[184],"significance":[186],"agriculture":[189],"context":[192],"sustainable":[195],"development":[196],"goals":[197],"(SDGs),":[198],"specifically":[199],"addressing":[200],"SDG":[201,206],"2":[202],"(zero":[203],"hunger)":[204],"13":[207],"(climate":[208],"action)":[209],"by":[210],"enhancing":[211],"productivity":[213],"building":[215],"systems.":[219]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2026-09-18T00:00:00"}
