{"id":"https://openalex.org/W4396852327","doi":"https://doi.org/10.1145/3647444.3647855","title":"An Approach for Soil Fertility Assessment Using Geospatial Data and Environmental Covariates","display_name":"An Approach for Soil Fertility Assessment Using Geospatial Data and Environmental Covariates","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396852327","doi":"https://doi.org/10.1145/3647444.3647855"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059958834","display_name":"Shyamal Mundada","orcid":"https://orcid.org/0000-0002-5752-9162"},"institutions":[{"id":"https://openalex.org/I4210138251","display_name":"Indian Institute of Information Technology, Nagpur","ror":"https://ror.org/03e2e3s57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138251"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shyamal Mundada","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Information Technology, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0002-5752-9162","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Information Technology, Nagpur, India","institution_ids":["https://openalex.org/I4210138251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009481416","display_name":"Pooja Jain","orcid":"https://orcid.org/0000-0002-4216-7787"},"institutions":[{"id":"https://openalex.org/I4210138251","display_name":"Indian Institute of Information Technology, Nagpur","ror":"https://ror.org/03e2e3s57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138251"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooa Jain","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Information Technology, Nagpur, India"],"raw_orcid":"https://orcid.org/0000-0002-4216-7787","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Information Technology, Nagpur, India","institution_ids":["https://openalex.org/I4210138251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210138251"],"apc_list":null,"apc_paid":null,"fwci":1.2491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81281978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9976999759674072,"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/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9896000027656555,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8322498798370361},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7143572568893433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441381335258484},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.498821496963501},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34550952911376953},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3414478302001953},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21809619665145874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11824530363082886}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8322498798370361},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7143572568893433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441381335258484},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.498821496963501},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34550952911376953},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3414478302001953},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21809619665145874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11824530363082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","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":22,"referenced_works":["https://openalex.org/W1487682505","https://openalex.org/W2054325787","https://openalex.org/W2066212935","https://openalex.org/W2067558695","https://openalex.org/W2094715433","https://openalex.org/W2094956419","https://openalex.org/W2111081357","https://openalex.org/W2119600724","https://openalex.org/W2123386011","https://openalex.org/W2139709933","https://openalex.org/W2169920519","https://openalex.org/W2317026027","https://openalex.org/W2480124370","https://openalex.org/W2535438183","https://openalex.org/W2565108701","https://openalex.org/W2778312486","https://openalex.org/W2901311570","https://openalex.org/W2949545510","https://openalex.org/W3028908210","https://openalex.org/W3047461258","https://openalex.org/W4200153829","https://openalex.org/W4296107393"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W4367313141","https://openalex.org/W4280507437","https://openalex.org/W3118689035","https://openalex.org/W2553922746","https://openalex.org/W3048452028","https://openalex.org/W2001703222","https://openalex.org/W2331360809","https://openalex.org/W4379390828"],"abstract_inverted_index":{"Agriculture":[0,18],"is":[1,46,112,164],"one":[2],"of":[3,13,42,72,92],"the":[4,9,16,37,43,47,70,90],"most":[5],"important":[6],"industries":[7],"for":[8,89,108],"country":[10],"in":[11,64,100,119,140],"terms":[12],"sustainability":[14],"and":[15,31,51,83,105,122,155,159],"economy.":[17],"practises":[19],"must":[20],"be":[21],"improved":[22],"to":[23,86,116,148],"preserve":[24],"a":[25,76,142],"sustainable":[26],"balance":[27],"because":[28],"agriculture\u2019s":[29],"importance":[30],"requirement":[32],"are":[33],"increasing":[34],"along":[35],"with":[36],"population.":[38],"A":[39,103],"vital":[40],"part":[41],"agricultural":[44],"system":[45,147],"soil.":[48],"The":[49],"accurate":[50,160],"thorough":[52],"spatial":[53],"soil":[54,58,93,109,125,162],"information":[55,95,163],"provided":[56],"by":[57],"composition":[59],"detection":[60],"can":[61,138],"assist":[62],"farmers":[63,99],"making":[65],"decisions":[66],"that":[67,96],"will":[68,97],"promote":[69],"growth":[71],"their":[73],"crops.":[74],"As":[75],"result,":[77],"researchers":[78],"concentrated":[79],"on":[80,134],"using":[81,129],"AI":[82],"remote":[84,135],"sensing":[85,136],"create":[87],"models":[88],"prediction":[91],"nutrient":[94,110],"aid":[98,139],"exact":[101],"fertilisation.":[102],"precise":[104],"economical":[106],"solution":[107],"mapping":[111],"now":[113],"available":[114],"due":[115],"recent":[117],"developments":[118],"sensor":[120],"technology":[121],"machine":[123,130],"learning-based":[124],"analysis":[126],"methods.":[127],"Therefore,":[128],"learning":[131],"(ML)":[132],"techniques":[133],"data":[137],"developing":[141],"precision":[143],"farming":[144],"decision":[145],"support":[146],"increase":[149],"crop":[150],"output.":[151],"For":[152],"environmental":[153],"modelling":[154],"risk":[156],"assessment,":[157],"complete":[158],"geographic":[161],"crucial.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
