Detalhes do Documento

Plataforma de gestão e previsão de produção alimentar

Autor(es): Ximenes, Alexandre Ventura

Data: 2024

Identificador Persistente: http://hdl.handle.net/10198/31013

Origem: Biblioteca Digital da UPB

Assunto(s): Mobile application; Backend; Income over feed Cost; Food production


Descrição

The production of food is a business model that utilizes resources such as space, feed, or other consumables to provide sustenance, typically for humans. This work aims to study and develop a food production management and forecasting system, focusing primarily on dairy production, allowing users to manage production and access useful indicators for company operations, such as Input Income Over Feed Cost (IOFC), and forecasting costs/-revenues based on financial market trends. The objective is to develop a mobile platform with a backend accessible via Representational State Transfer (REST)/Javascript Object Notation (JSON) for managing and forecasting the yield of a food production company, while also predicting yield evolution based on financial market values. The methodology involves conducting a survey of the state of the art, analyzing and designing the client/server application, implementing the backend, developing the frontend for mobile platforms, and integrating prediction/estimation models. This platform aims to enhance efficiency and decision-making in food production businesses by providing comprehensive management and forecasting capabilities. Keywords: Mobile application; backend; Income over Feed Cost; Food product

Tipo de Documento Dissertação de mestrado
Idioma Português
Contribuidor(es) Biblioteca Digital da UPB; Lopes, Rui Pedro
Licença CC
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