Multi-objective models for optimizing olive crop management for olive oil production

Detalhes bibliográficos
Autor(a) principal: Santos, Fernando Alberto Montenegro dos
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
Texto Completo: https://www.teses.usp.br/teses/disponiveis/18/18156/tde-26092023-105100/
Resumo: The objective of this work is to develop and apply two mathematical models for the optimal management of crop harvesting and irrigation in Chile, considering different objectives and scenarios. The models are based on multi-objective mathematical programming techniques, which allow representing the complexity and uncertainty of the agricultural problem. The results obtained show that the models are capable of generating efficient and flexible solutions that satisfy the production, quality and contract requirements of the crops, as well as economic criteria. The models also allow the decision maker to choose the best alternative according to his preferences and constraints, as well as to adapt to changes and undesired events that may occur during the process. The proposed models are useful tools for decision making at the operational level in the agricultural field, as they facilitate the optimization and control of harvesting and irrigation activities. In addition, the models are flexible and adaptable to different contexts and crops, which makes them applicable to other regions or problems.
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spelling Multi-objective models for optimizing olive crop management for olive oil productionModelos multiobjetivos para otimização do gerenciamento da cultura de azeitona visando a produção de azeite de olivaagro-industryagroindústriaazeite de olivairrigaçãoirrigationmathematical modelmodelo matemáticomulti-objective programmingolive oilprogramação multiobjetivoThe objective of this work is to develop and apply two mathematical models for the optimal management of crop harvesting and irrigation in Chile, considering different objectives and scenarios. The models are based on multi-objective mathematical programming techniques, which allow representing the complexity and uncertainty of the agricultural problem. The results obtained show that the models are capable of generating efficient and flexible solutions that satisfy the production, quality and contract requirements of the crops, as well as economic criteria. The models also allow the decision maker to choose the best alternative according to his preferences and constraints, as well as to adapt to changes and undesired events that may occur during the process. The proposed models are useful tools for decision making at the operational level in the agricultural field, as they facilitate the optimization and control of harvesting and irrigation activities. In addition, the models are flexible and adaptable to different contexts and crops, which makes them applicable to other regions or problems.Este trabalho tem como objetivo desenvolver e aplicar dois modelos matemáticos para o gerenciamento otimo da colheita e da irrigação na cultura de azeitona no Chile, considerando diferentes objetivos e cenários. Os modelos são baseados em técnicas de programação matemática multiobjetivo, que permitem representar a complexidade e a incerteza do problema agrícola. Os resultados obtidos mostram que os modelos são capazes de gerar soluções eficientes e flexíveis que satisfazem os requisitos de produção, qualidade e contrato das culturas, bem como os critérios econômicos. Os modelos também permitem que o tomador de decisão escolha a melhor alternativa de acordo com suas preferências e restrições, bem como se adapte a mudanças e eventos indesejados que possam ocorrer durante o processo. Os modelos propostos são ferramentas úteis para a tomada de decisões em nível operacional no campo agrícola, pois facilitam a otimização e o controle das atividades de colheita e irrigação. Além disso, os modelos são flexíveis e adaptáveis a diferentes contextos e culturas, o que os torna aplicáveis a outras regiões ou problemas.Biblioteca Digitais de Teses e Dissertações da USPNagano, Marcelo SeidoSantos, Fernando Alberto Montenegro dos2023-08-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/18/18156/tde-26092023-105100/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2023-10-05T13:04:02Zoai:teses.usp.br:tde-26092023-105100Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212023-10-05T13:04:02Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Multi-objective models for optimizing olive crop management for olive oil production
Modelos multiobjetivos para otimização do gerenciamento da cultura de azeitona visando a produção de azeite de oliva
title Multi-objective models for optimizing olive crop management for olive oil production
spellingShingle Multi-objective models for optimizing olive crop management for olive oil production
Santos, Fernando Alberto Montenegro dos
agro-industry
agroindústria
azeite de oliva
irrigação
irrigation
mathematical model
modelo matemático
multi-objective programming
olive oil
programação multiobjetivo
title_short Multi-objective models for optimizing olive crop management for olive oil production
title_full Multi-objective models for optimizing olive crop management for olive oil production
title_fullStr Multi-objective models for optimizing olive crop management for olive oil production
title_full_unstemmed Multi-objective models for optimizing olive crop management for olive oil production
title_sort Multi-objective models for optimizing olive crop management for olive oil production
author Santos, Fernando Alberto Montenegro dos
author_facet Santos, Fernando Alberto Montenegro dos
author_role author
dc.contributor.none.fl_str_mv Nagano, Marcelo Seido
dc.contributor.author.fl_str_mv Santos, Fernando Alberto Montenegro dos
dc.subject.por.fl_str_mv agro-industry
agroindústria
azeite de oliva
irrigação
irrigation
mathematical model
modelo matemático
multi-objective programming
olive oil
programação multiobjetivo
topic agro-industry
agroindústria
azeite de oliva
irrigação
irrigation
mathematical model
modelo matemático
multi-objective programming
olive oil
programação multiobjetivo
description The objective of this work is to develop and apply two mathematical models for the optimal management of crop harvesting and irrigation in Chile, considering different objectives and scenarios. The models are based on multi-objective mathematical programming techniques, which allow representing the complexity and uncertainty of the agricultural problem. The results obtained show that the models are capable of generating efficient and flexible solutions that satisfy the production, quality and contract requirements of the crops, as well as economic criteria. The models also allow the decision maker to choose the best alternative according to his preferences and constraints, as well as to adapt to changes and undesired events that may occur during the process. The proposed models are useful tools for decision making at the operational level in the agricultural field, as they facilitate the optimization and control of harvesting and irrigation activities. In addition, the models are flexible and adaptable to different contexts and crops, which makes them applicable to other regions or problems.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-21
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.teses.usp.br/teses/disponiveis/18/18156/tde-26092023-105100/
url https://www.teses.usp.br/teses/disponiveis/18/18156/tde-26092023-105100/
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv
dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Liberar o conteúdo para acesso público.
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv
dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
dc.source.none.fl_str_mv
reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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