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

• Ano de defesa: 2023
• Autor(a) principal: Santos, Fernando Alberto Montenegro dos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: agro-industry; agroindústria; azeite de oliva; irrigação; irrigation; mathematical model; modelo matemático; multi-objective programming; olive oil; programação multiobjetivo
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/18/18156/tde-26092023-105100/

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.