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Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2023.tde-26092023-105100
Document
Author
Full name
Fernando Alberto Montenegro dos Santos
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2023
Supervisor
Committee
Nagano, Marcelo Seido (President)
Hermosilla, Jose Luis Garcia
Takano, Mauricio Iwama
Title in English
Multi-objective models for optimizing olive crop management for olive oil production
Keywords in English
agro-industry
irrigation
mathematical model
multi-objective programming
olive oil
Abstract in English
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.
Title in Portuguese
Modelos multiobjetivos para otimização do gerenciamento da cultura de azeitona visando a produção de azeite de oliva
Keywords in Portuguese
agroindústria
azeite de oliva
irrigação
modelo matemático
programação multiobjetivo
Abstract in Portuguese
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.
 
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Publishing Date
2023-10-04
 
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