{"id":"https://openalex.org/W4283275606","doi":"https://doi.org/10.1145/3529836.3529842","title":"Remote sensing based yield estimation of wheat using support vector machine (SVM) in semi-arid environment","display_name":"Remote sensing based yield estimation of wheat using support vector machine (SVM) in semi-arid environment","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4283275606","doi":"https://doi.org/10.1145/3529836.3529842"},"language":"en","primary_location":{"id":"doi:10.1145/3529836.3529842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","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/A5078401530","display_name":"Hafiza Hamrah Kanwal","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hafiza Hamrah Kanwal","raw_affiliation_strings":["Department of Computer Science, Chongqing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103430533","display_name":"Ishfaq Ahmad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ishfaq Ahmad","raw_affiliation_strings":["Climate Resilience Department, Asian Disaster Preparedness Center, Pakistan"],"affiliations":[{"raw_affiliation_string":"Climate Resilience Department, Asian Disaster Preparedness Center, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084537076","display_name":"Muhammad Saad Aziz","orcid":null},"institutions":[{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Saad Aziz","raw_affiliation_strings":["Institute of Chemical Engineering and Technology, University of the Punjab, Pakistan"],"affiliations":[{"raw_affiliation_string":"Institute of Chemical Engineering and Technology, University of the Punjab, Pakistan","institution_ids":["https://openalex.org/I172780181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078401530"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02899217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9973999857902527,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7967467308044434},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6479282975196838},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.48226290941238403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4688013195991516},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43481773138046265},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4271458387374878},{"id":"https://openalex.org/keywords/food-security","display_name":"Food security","score":0.42653268575668335},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3998965620994568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3978634774684906},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3702142834663391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35000383853912354},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.3448953926563263},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14134177565574646},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09951859712600708}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7967467308044434},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6479282975196838},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.48226290941238403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4688013195991516},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43481773138046265},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4271458387374878},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.42653268575668335},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3998965620994568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3978634774684906},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3702142834663391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35000383853912354},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.3448953926563263},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14134177565574646},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09951859712600708},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529836.3529842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4699999988079071},{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2908861849","https://openalex.org/W2943574889","https://openalex.org/W2958537907","https://openalex.org/W2979030859","https://openalex.org/W2983243964","https://openalex.org/W2997133053","https://openalex.org/W2999658315","https://openalex.org/W3008924261","https://openalex.org/W3010840107","https://openalex.org/W3012292080","https://openalex.org/W3080808509","https://openalex.org/W3081815534","https://openalex.org/W3081860077","https://openalex.org/W3095120300","https://openalex.org/W3111174758","https://openalex.org/W3146201181","https://openalex.org/W3154229188","https://openalex.org/W6801542812"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W2152642030"],"abstract_inverted_index":{"The":[0,22,134,145,166],"increasing":[1],"demand":[2],"for":[3,142],"food":[4,13],"and":[5,10,38,57,63,105,163],"necessary":[6],"decision-making":[7],"on":[8],"management":[9],"security":[11],"of":[12,18,25,47,60,77,86,92,95,131,147,155],"crops":[14],"require":[15],"prior":[16],"knowledge":[17],"the":[19,44,55,61,67,75,84,90,109,118,148,170,175],"upcoming":[20],"yield.":[21,133],"accurate":[23,45],"prediction":[24,46,130],"wheat":[26,48,132,176],"yield":[27,49,177],"is":[28,50,79,112,140,151],"a":[29],"hard":[30],"process":[31],"that":[32],"requires":[33],"information":[34],"such":[35,98,158],"as":[36,99,159],"location":[37],"climatic":[39,110],"conditions.":[40],"In":[41],"this":[42,143],"paper,":[43],"facilitated":[51],"by":[52],"integrating":[53],"both":[54],"current":[56,93],"past":[58],"data":[59,78],"soil,":[62],"climate,":[64],"along":[65,107,116],"with":[66,108,117,178],"spatial":[68],"features":[69],"obtained":[70],"from":[71],"satellite":[72],"images.":[73],"Initially,":[74],"normalization":[76],"carried":[80],"out":[81],"to":[82,126],"balance":[83],"values":[85],"different":[87],"ranges.":[88],"Then":[89],"measurement":[91],"readings":[94],"soil":[96,100],"characteristics":[97],"moisture,":[101],"air":[102],"temperature,":[103],"humidity,":[104],"precipitations":[106],"conditions":[111],"performed.":[113],"These":[114],"measurements":[115,121],"previous":[119],"historical":[120],"were":[122],"considered":[123],"in":[124,153,173],"order":[125],"perform":[127],"an":[128],"effective":[129],"multi-kernel-based":[135],"Support":[136],"Vector":[137],"Machine":[138],"(SVM)":[139],"implemented":[141],"purpose.":[144],"effectiveness":[146],"proposed":[149,167],"approach":[150,168],"validated":[152],"terms":[154],"performance":[156],"metrics":[157],"accuracy,":[160],"precision,":[161],"recall,":[162],"F":[164],"score.":[165],"outperforms":[169],"existing":[171],"approaches":[172],"predicting":[174],"increased":[179],"accuracy.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}