Proposta de Sistema Inteligente para Gerenciamento de Hidroponia
| dc.contributor.advisor | Cuevas Rodriguez, Luis | |
| dc.contributor.advisor-lattes | http://lattes.cnpq.br/0083210163583491 | |
| dc.contributor.author | Oliveira Filho, Bonifácio Leite de | |
| dc.contributor.author-lattes | http://lattes.cnpq.br/1002454076623697 | |
| dc.contributor.referee1 | OLiveira, Raimundo Corrêa | |
| dc.contributor.referee2 | Silva Júnior, Jucimar Maia da | |
| dc.date.accessioned | 2025-03-25T15:37:58Z | |
| dc.date.issued | 2024-01-16 | |
| dc.description.abstract | This monograph presents the development of an intelligent system for hydroponic mana gement, integrating IoT technologies, data analysis, and artificial intelligence (AI) models to optimize hydroponic farming. The system was designed to continuously monitor cultivation parameters, automate manual tasks, and provide real-time recommendations. The proposed architecture includes IoT devices responsible for collecting environmental and nutritional data, controlling actuators, and communicating with a cloud server where the data is stored and processed. The collected data feeds an AI server that utilizes predictive and recommendation models to infer ideal conditions and adjust cultivation parameters such as nutrients and irrigation. Furthermore, the system provides an interactive dashboard, enabling users to monitor device states, configure personalized automations, and access historical data. The use of AI models such as Random Forest, Neural Networks, and Gradient Boosting, combined with a fertilizer recommendation system, demonstrated effectiveness in predicting and adjusting agricultural conditions. With the ability to continuously adapt to the specific needs of different types of crops, the system emerges as a promising solution to enhance productivity, reduce waste, and promote the sustainability of hydroponic farming. | |
| dc.description.resumo | Esta monografia apresenta o desenvolvimento de um sistema inteligente para o gerencia mento de hidroponia, integrando tecnologias de IoT, análise de dados e modelos de inteligência artificial (IA) para otimizar o cultivo hidropônico. O sistema foi projetado para monitorar continuamente os parâmetros do cultivo, automatizar tarefas manuais e oferecer recomendações em tempo real. A arquitetura proposta inclui dispositivos IoT responsáveis pela coleta de dados ambientais e nutricionais, controle de atuadores e comunicação com um servidor na nuvem, onde os dados são armazenados e processados. Os dados coletados alimentam um servidor de IA, que utiliza modelos preditivos e de recomendação para inferir condições ideais e ajustar os parâmetros de cultivo, como nutrientes e irrigação. Além disso, o sistema fornece um painel de controle interativo, permitindo aos usuários monitorar o estado dos dispositivos, configurar automações personalizadas e acessar o histórico de dados. O uso de modelos de IA, como Random Forest, Redes Neurais e Gradient Boosting, aliado a um sistema de recomendação de fertilizantes, demonstrou eficácia na previsão e ajuste de condições agrícolas. Com a capacidade de adaptar-se continuamente `as necessidades específicas de diferentes tipos de cultivo, o sistema se apresenta como uma solução promissora para melhorar a produtividade, reduzir desperdícios e promover a sustentabilidade do cultivo hidropônico. | |
| dc.identifier.citation | OLIVEIRA FILHO, Bonifácio Leite de. Proposta de sistema inteligente para gerenciamento de hidroponia, Manaus, 2024. 93f. TCC - (Graduação em Engenharia de Computação) - Universidade do Estado do Amazonas. Escola Superior de Tecnologia. | |
| dc.identifier.uri | https://ri.uea.edu.br/handle/riuea/7423 | |
| dc.publisher | Universidade do Estado do Amazonas | |
| dc.publisher.initials | UEA | |
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| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Brazil | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/br/ | |
| dc.subject | Hidroponia | |
| dc.subject | Inteligência Artificial | |
| dc.subject | Automação | |
| dc.subject | Gerenciamento de Cultivo | |
| dc.title | Proposta de Sistema Inteligente para Gerenciamento de Hidroponia | |
| dc.title.alternative | Proposal for an Intelligent Hydroponics Management System | |
| dc.type | Trabalho de Conclusão de Curso |
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