{"id":"https://openalex.org/W4394805180","doi":"https://doi.org/10.1109/pdp62718.2024.00025","title":"An Edge-to-Cloud System enabling Geospatial Machine Learning for Soil-Plant Moisture Classification","display_name":"An Edge-to-Cloud System enabling Geospatial Machine Learning for Soil-Plant Moisture Classification","publication_year":2024,"publication_date":"2024-03-20","ids":{"openalex":"https://openalex.org/W4394805180","doi":"https://doi.org/10.1109/pdp62718.2024.00025"},"language":"en","primary_location":{"id":"doi:10.1109/pdp62718.2024.00025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pdp62718.2024.00025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)","raw_type":"proceedings-article"},"type":"article","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/A5026255326","display_name":"Gabriele Penzotti","orcid":"https://orcid.org/0000-0001-5557-6435"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Penzotti","raw_affiliation_strings":["University of Parma,CIDEA,Parma,Italy","CIDEA, University of Parma, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma,CIDEA,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"CIDEA, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095691320","display_name":"Natalia Teresa Mazzara","orcid":null},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Natalia Teresa Mazzara","raw_affiliation_strings":["University of Parma,CIDEA,Parma,Italy","CIDEA, University of Parma, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma,CIDEA,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"CIDEA, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064611133","display_name":"Tommaso Letterio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tommaso Letterio","raw_affiliation_strings":["Consorzio di Bonifica di Secondo Grado per il Canale Emiliano Romagnolo,CER,Bologna,Italy","CER, Consorzio di Bonifica di Secondo Grado per il Canale Emiliano Romagnolo, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consorzio di Bonifica di Secondo Grado per il Canale Emiliano Romagnolo,CER,Bologna,Italy","institution_ids":[]},{"raw_affiliation_string":"CER, Consorzio di Bonifica di Secondo Grado per il Canale Emiliano Romagnolo, Bologna, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026196931","display_name":"Michele Amoretti","orcid":"https://orcid.org/0000-0002-6046-1904"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Amoretti","raw_affiliation_strings":["University of Parma,CIDEA,Parma,Italy","CIDEA, University of Parma, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma,CIDEA,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"CIDEA, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067471531","display_name":"Stefano Caselli","orcid":"https://orcid.org/0000-0003-0774-7871"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Caselli","raw_affiliation_strings":["University of Parma,CIDEA,Parma,Italy","CIDEA, University of Parma, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Parma,CIDEA,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"CIDEA, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5628,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84631836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.996399998664856,"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":0.996399998664856,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.900794267654419},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7743018865585327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6042994856834412},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48694145679473877},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.4635308086872101},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4508776068687439},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.4303587079048157},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42355257272720337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2668456435203552},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.173366516828537},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13029330968856812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10721170902252197},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09814813733100891}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.900794267654419},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7743018865585327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042994856834412},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48694145679473877},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.4635308086872101},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4508776068687439},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.4303587079048157},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42355257272720337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2668456435203552},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.173366516828537},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13029330968856812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10721170902252197},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09814813733100891},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pdp62718.2024.00025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pdp62718.2024.00025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1977670320","https://openalex.org/W2112796928","https://openalex.org/W2188767531","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2587466508","https://openalex.org/W2944766936","https://openalex.org/W3019616978","https://openalex.org/W3045236090","https://openalex.org/W3157185009","https://openalex.org/W3204992808","https://openalex.org/W3205427062","https://openalex.org/W4200181210","https://openalex.org/W4210712389","https://openalex.org/W4285080405","https://openalex.org/W4323318665","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4362512700","https://openalex.org/W4366547507","https://openalex.org/W4390100400","https://openalex.org/W2074396925"],"abstract_inverted_index":{"In":[0,22],"Smart":[1],"Farming,":[2],"geospatial":[3],"machine":[4,113],"learning":[5,114],"has":[6],"the":[7,137],"potential":[8],"to":[9,73],"enable":[10],"data-driven":[11],"crop":[12,77],"management":[13],"across":[14],"large":[15,91,122],"areas":[16],"for":[17,31],"optimization":[18],"of":[19,90,121,130,139],"resource":[20],"consumption.":[21],"this":[23],"work,":[24],"we":[25],"describe":[26],"an":[27],"edge-to-cloud":[28],"system":[29],"designed":[30],"soil-plant":[32],"moisture":[33,85,108],"detection":[34],"and":[35,47,49,65,70,76,82,84,100],"classification":[36],"in":[37,95],"a":[38],"realistic":[39],"scenario,":[40],"where":[41],"ground":[42],"truth":[43],"data":[44,61,78,80,93,98,123],"are":[45,63,110],"scarce":[46],"inaccurate":[48,103],"yet":[50],"district-level":[51],"irrigation":[52],"water":[53],"provisioning":[54],"must":[55],"rely":[56],"on":[57],"these":[58],"data.":[59],"Global":[60],"sources":[62],"scouted":[64],"integrated":[66],"with":[67,143],"purposely-designed":[68],"edge":[69],"fog":[71],"components":[72],"support":[74],"soil":[75],"collection,":[79],"filtering":[81],"validation,":[83],"assessment.":[86],"Exploiting":[87],"suitable":[88],"combinations":[89],"scale":[92],"(retrieved":[94],"public":[96],"satellite":[97],"hubs)":[99],"specific":[101],"but":[102],"manual":[104,119],"data,":[105],"sufficiently":[106],"accurate":[107],"assessments":[109],"obtained":[111,145],"by":[112,146],"algorithms,":[115],"thereby":[116],"avoiding":[117],"expensive":[118],"labeling":[120],"collections":[124],"as":[125,127],"well":[126],"human":[128],"inspection":[129],"individual":[131],"plots.":[132],"The":[133],"resulting":[134],"accuracy":[135],"(in":[136],"order":[138],"80%)":[140],"is":[141],"comparable":[142],"that":[144],"human-laboured":[147],"approaches.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}