Pattern Mining and Classification Techniques for Agriculture and Crop Simulation

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Research shows that data analysis and artificial intelligence applied to agriculture in Peru can help manage crop production and mitigate monetary losses. This work presents SmartAgro, a system based on pattern mining and classification techniques that takes information from multiple sources related...

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Detalles Bibliográficos
Autores: Rozas-Acurio, Javier, Zavaleta-Salazar, Sergio, Ugarte, Willy
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/669598
Enlace del recurso:http://hdl.handle.net/10757/669598
Nivel de acceso:acceso embargado
Materia:Agriculture
Classification
Crop simulation
Pattern mining
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dc.title.es_PE.fl_str_mv Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
title Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
spellingShingle Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
Rozas-Acurio, Javier
Agriculture
Classification
Crop simulation
Pattern mining
title_short Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
title_full Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
title_fullStr Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
title_full_unstemmed Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
title_sort Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
author Rozas-Acurio, Javier
author_facet Rozas-Acurio, Javier
Zavaleta-Salazar, Sergio
Ugarte, Willy
author_role author
author2 Zavaleta-Salazar, Sergio
Ugarte, Willy
author2_role author
author
dc.contributor.author.fl_str_mv Rozas-Acurio, Javier
Zavaleta-Salazar, Sergio
Ugarte, Willy
dc.subject.es_PE.fl_str_mv Agriculture
Classification
Crop simulation
Pattern mining
topic Agriculture
Classification
Crop simulation
Pattern mining
description Research shows that data analysis and artificial intelligence applied to agriculture in Peru can help manage crop production and mitigate monetary losses. This work presents SmartAgro, a system based on pattern mining and classification techniques that takes information from multiple sources related to the agricultural process to extract knowledge and produce recommendations about the crop growth process. The problem we seek to mitigate with our system is the economic losses generated in Peruvian agriculture caused by poor crop planning. Our results show a high accuracy in regards to type of crop recommendation, and a knowledge base useful for agricultural planning.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2023-12-08T01:44:02Z
dc.date.available.none.fl_str_mv 2023-12-08T01:44:02Z
dc.date.issued.fl_str_mv 2022-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 18650929
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-031-20319-0_33
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/669598
dc.identifier.eissn.none.fl_str_mv 18650937
dc.identifier.journal.es_PE.fl_str_mv Communications in Computer and Information Science
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identifier_str_mv 18650929
10.1007/978-3-031-20319-0_33
18650937
Communications in Computer and Information Science
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url http://hdl.handle.net/10757/669598
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-031-20319-0_33
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dc.publisher.es_PE.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv Communications in Computer and Information Science
dc.source.volume.none.fl_str_mv 1675 CCIS
dc.source.beginpage.none.fl_str_mv 444
dc.source.endpage.none.fl_str_mv 458
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spelling 1b81d97474cae24370d1cf9f662f1d6f300d1cfc774178f9d622a7978a164574153300533fd7e68213307170565ef90452257a500Rozas-Acurio, JavierZavaleta-Salazar, SergioUgarte, Willy2023-12-08T01:44:02Z2023-12-08T01:44:02Z2022-01-011865092910.1007/978-3-031-20319-0_33http://hdl.handle.net/10757/66959818650937Communications in Computer and Information Science2-s2.0-85144203108SCOPUS_ID:851442031080000 0001 2196 144XResearch shows that data analysis and artificial intelligence applied to agriculture in Peru can help manage crop production and mitigate monetary losses. This work presents SmartAgro, a system based on pattern mining and classification techniques that takes information from multiple sources related to the agricultural process to extract knowledge and produce recommendations about the crop growth process. The problem we seek to mitigate with our system is the economic losses generated in Peruvian agriculture caused by poor crop planning. Our results show a high accuracy in regards to type of crop recommendation, and a knowledge base useful for agricultural planning.engSpringer Science and Business Media Deutschland GmbHhttps://link.springer.com/chapter/10.1007/978-3-031-20319-0_33info:eu-repo/semantics/embargoedAccessAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/AgricultureClassificationCrop simulationPattern miningPattern Mining and Classification Techniques for Agriculture and Crop Simulationinfo:eu-repo/semantics/articleCommunications in Computer and Information Science1675 CCIS444458reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669598/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorioacademico.upc.edu.pe/bitstream/10757/669598/1/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD51false10757/669598oai:repositorioacademico.upc.edu.pe:10757/6695982023-12-08 01:44:03.999Repositorio académico upcupc@openrepository.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Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
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