{"id":"https://openalex.org/W4313444874","doi":"https://doi.org/10.1007/978-981-19-5868-7_39","title":"Prediction of the Reference Evapotranspiration Data from Raipur Weather Station in Chhattisgarh using Decision Tree-Based Machine Learning Techniques","display_name":"Prediction of the Reference Evapotranspiration Data from Raipur Weather Station in Chhattisgarh using Decision Tree-Based Machine Learning Techniques","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313444874","doi":"https://doi.org/10.1007/978-981-19-5868-7_39"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-19-5868-7_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-5868-7_39","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Electrical Engineering","raw_type":"book-chapter"},"type":"book-chapter","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/A5100319702","display_name":"A. Patel","orcid":"https://orcid.org/0000-0002-8119-6142"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhishek Patel","raw_affiliation_strings":["Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India","institution_ids":["https://openalex.org/I167153416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026947232","display_name":"Syed Taqi Ali","orcid":"https://orcid.org/0000-0001-7927-8643"},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Taqi Ali","raw_affiliation_strings":["Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India","institution_ids":["https://openalex.org/I167153416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100319702"],"corresponding_institution_ids":["https://openalex.org/I167153416"],"apc_list":null,"apc_paid":null,"fwci":0.5435,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70435529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11404","display_name":"Irrigation Practices and Water Management","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9854999780654907,"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/gradient-boosting","display_name":"Gradient boosting","score":0.7799562215805054},{"id":"https://openalex.org/keywords/evapotranspiration","display_name":"Evapotranspiration","score":0.7630673050880432},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6844788789749146},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6228615045547485},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5850580930709839},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5833393931388855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5749152898788452},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.505396842956543},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5003383159637451},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.483476459980011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4417983591556549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42558449506759644},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41085001826286316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39100050926208496},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38883015513420105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35627126693725586},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32445067167282104},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.073523610830307}],"concepts":[{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7799562215805054},{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.7630673050880432},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6844788789749146},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6228615045547485},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5850580930709839},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5833393931388855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5749152898788452},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.505396842956543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5003383159637451},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.483476459980011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4417983591556549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42558449506759644},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41085001826286316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39100050926208496},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38883015513420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35627126693725586},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32445067167282104},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.073523610830307},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-19-5868-7_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-5868-7_39","pdf_url":null,"source":{"id":"https://openalex.org/S4210179954","display_name":"Lecture notes in electrical engineering","issn_l":"1876-1100","issn":["1876-1100","1876-1119"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Electrical Engineering","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1987986396","https://openalex.org/W2010778044","https://openalex.org/W2041447177","https://openalex.org/W2064675550","https://openalex.org/W2302448852","https://openalex.org/W2920819147","https://openalex.org/W3010047009","https://openalex.org/W3032793208","https://openalex.org/W3081241543","https://openalex.org/W3094572470","https://openalex.org/W3119192682","https://openalex.org/W3182761853","https://openalex.org/W4200490413","https://openalex.org/W4250664506"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W2073883415","https://openalex.org/W4289703016"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}