ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus
URI permanente para esta coleção:
Navegar
Percorrer ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus por Objetivos de Desenvolvimento Sustentável (ODS) "12:Produção e Consumo Sustentáveis"
A mostrar 1 - 10 de 15
Resultados por página
Opções de ordenação
- Advancing Sustainability and Productivity: The Role of Precision Agriculture in Vineyards and Olive GrovesPublication . Fernandes, Fernanda Mara; Santos, Murillo Ferreira dos; Morais, Maurício Herche Fófano de; Lima, José; Pereira, Ana I.; Mercorelli, PaoloPrecision agriculture has emerged as a vital approach to modern agricultural management, addressing the dual challenge of increasing food production while preserving the environment. Its importance lies in its ability to leverage advanced technologies to optimize productivity, reduce waste, and ensure sustainability, particularly in high-value crops such as vineyards and olive groves. This study explores the application of precision agriculture tools, such as sensors, drones, geolocation systems, and data analytics, in these crops to enhance productivity, improve product quality, and minimize environmental impact. In vineyards, precision viticulture focuses on managing spatial and temporal variability within plots to increase economic performance through higher productivity, superior fruit quality, and reduced production costs. The targeted application of inputs and precise management practices result in resource savings and uniform fruit quality, crucial for producing premium wines. Similarly, in olive groves, technologies enable effective plant health monitoring and early disease detection. At the same time, drones assist in evaluating plant vigor and planning optimal harvest times, ultimately maximizing yield and olive oil quality. By integrating traditional agricultural practices with modern technological advancements, this study anticipates a range of positive outcomes, including reduced resource waste, improved competitiveness in global markets, and strengthened sustainability in production networks. The findings underscore the transformative potential of precision agriculture, offering valuable insights into sustainable agricultural development and setting a pathway for further innovation in the sector.
- An augmented reality intelligent guide for the automotive industryPublication . Pereira, Francisco; Patrício, Manuel; Lopes, Rui Pedro; Leitão, PauloThroughout the 21st century, there has been a rise in interest of increasing inter-connectivity and smart automation in the realms of industrial production, often called the 4th Industrial Revolution. Thus, interest in areas such as virtual, mixed, and augmented reality has increased as new devices and technologies related to these areas are seen as a possible solution to increase Industrial efficiency, create safer work environments for employees, and more effective training. In this project, a HoloLens app was developed, capable of identifying and showing to the user various zones where a specific vehicle in a production line requires checking and in which users have full spatial perception. Each vehicle is composed of several zones and each of these zones is associated with specific stations in a sequential order, so the user will only be able to see the zones associated with the station that is being treated. Using a specific “gesture” users can change the zone’s status in the database to indicate that the zone has been checked. These changes will be visible and the vehicle, stations, and zones will be updated to reflect the modifications. Various scripts in C# and PHP were used to allow modifications to the behaviour of the objects and database in the augmented reality scene through the access to a RESTful service in Unity.
- Architecture for efficient food management and waste reductionPublication . Pereira, Hélder; Oliveira, Pedro Filipe; Matos, PauloThis article presents a modular architecture for developing the ZeroWaste mobile application, designed to optimize food management in the home environment and reduce food waste through collaborative and scalable features. Food waste is a global issue with severe environmental, economic, and social repercussions, and ZeroWaste seeks to address this challenge by promoting conscious and sustainable consumption practices. Developed in React Native to support multiple platforms, the application integrates Firebase for authentication, notifications, and real-time data storage, enabling timely alerts on product expiration and facilitating user control over food inventory. Additionally, it incorporates an artificial intelligence module that suggests personalized recipes based on available products, encouraging food usage before spoilage. The proposed architecture also includes an automated product registration system using barcode scanning, supporting the creation of a community database that streamlines food item identification. Other features, such as shared shopping lists and multi-residence inventory management, expand the collaborative scope of the application, fostering the exchange and donation of food between users. With its flexible and expandable design, ZeroWaste is oriented towards continuous development and future improvements, meeting the growing need for technological solutions in sustainable and collaborative food management. This architectural proposal provides a robust foundation for developing an innovative solution.
- Control Allocation and Controller Tuning for an Over-Actuated Hexacopter Tilt-Rotor Applied for Precision AgriculturePublication . Libório, Leandro Oliveira; Pimentel, Gabriel Oliveira; Santos, Murillo Ferreira dos; Fernandes, Fernanda Mara; Lima, José; Morais, Maurício Herche Fófano de; Mercorelli, Paolo; Pereira, Ana I.This work presents the control allocation and tuning methodology for an over-actuated Hexacopter Tilt-Rotor (HTR) designed for precision agriculture applications. The HTR's innovative design includes two independently tiltable rotors, enhancing stability and forward velocity, making it suitable for low-altitude maneuvers in agricultural environments. The study focuses on the implementation of a cascade Proportional (P)-Proportional, Integral and Derivative (PID) control structure with Successive Loop Closure (SLC) and the application of an extended Fast Control Allocation (FCA) method to optimize actuator performance. The control gains were meticulously tuned to ensure stability and robustness across six degrees of freedom, achieving precise trajectory tracking and efficient resource use. Validation was conducted through simulations using Robot Operating System (ROS) and Gazebo, replicating realistic precision agriculture scenarios. Results demonstrate the efficacy of the proposed control strategies, highlighting their potential for real-world applications in crop monitoring, pest detection, and resource optimization. Future work includes physical implementation and integration with collaborative robotics.
- Enhancing agricultural audit systems with IoT and predictive analytics: deployment and performancePublication . Correia, Maria Patrocínia; Alves, Joaquim; Sequeira, Romeu; Exposto, JoséThis article proposes an extension of a geospatial-based agricultural audit platform by integrating Internet of Things technologies and predictive analytics. It builds on previous work to address field connectivity, scalability, and risk anticipation. The proposal outlines a modular architecture, identifies technical challenges and mitigation strategies, and presents use cases for different user profiles. Ethical, legal, and environmental implications of digitalisation are also discussed. This conceptual work supports future experimental validation and highlights the potential of digital transformation to enhance compliance with the Common Agricultural Policy and align with the European Green Deal priorities.
- Estudo comparativo de opções construtivas com base em pressupostos de sustentabilidadePublication . Rivani, Maria; Oliveira, Rui; Ribeiro, RodrigoO desenvolvimento sustentável é uma abordagem fundamentada no equilíbrio entre três dimensões, denominadas ambiental, social e económica, visando a satisfação de necessidades, sem comprometer as das populações futuras. Aplicada na construção civil, a sustentabilidade tem por intuito assegurar que nos processos de execução, reabilitação e demolição sejam utilizadas estratégias que diminuam os impactos ambientais, promovam a viabilidade económica e proporcionem qualidade de vida para as gerações. Perante essa permissa, o objetivo do estudo é realizar uma análise comparativa entre soluções construtivas que sejam detentoras de pressupostos de maior sustentabilidade e que atendam os requisitos mínimos de comportamento térmico, com o fim de procurar soluções viáveis que promovam menor impacto ambiental, que atendam as reduções de energia e de água incorporada e que contribuam para a redução de emissões de GEE. As opções construtivas selecionadas e alvo de estudo, foram analisadas a partir dos resultados coletados de diferentes categorias de impacto ambiental, tais como: GWP, ODP, AP, entre outros. Estudos bibliográficos foram realizados para sustentar a análise, além da consulta das DAP utilizadas em produtos de construção aplicados nas diferentes soluções estudadas. Os resultados baseiam-se numa proposta de solução para a reabilitação de uma edificação, que pode ser substituída por processos construtivos sustentáveis e termicamente eficientes, que são passíveis de aplicação.
- Inclusion of bim methodology and open bim workflow in small engineering project officesPublication . Carvalho, Márcio; Oliveira, Rui; Rodrigues, HugoDevido às exigências técnicas e à crescente evolução das tecnologias no desenvolvimento de projetos de especialidades de engenharia, o BIM (Building Information Modeling) viu-se como uma ferramenta de enorme potencial de utilização. Porém para implementação desta metodologia, ainda se encontram muitas lacunas, principalmente em gabinetes de projetos de pequena dimensão, onde o processo de mudança para essa “nova era” da informação na construção ainda não é totalmente acessível e facilitado. Ainda é um desafio com problemas inerentes relacionados como a especialização e formação das partes interessadas do setor e o próprio custo inicial de investimento. Porém esses problemas podem ser sanados com planeamento ajustado a longo prazo, além do próprio custo, tempo e qualidade nos projetos desenvolvidos, a par de seguimento das exigências de mercado ao nível das novas tecnologias. Mesmo os técnicos que operam em BIM sentem dificuldades na adequação e ajuste para modelos bidimensionais convencionais e até mesmo em formato papel, ainda exigidos pelas entidades de licenciamento. Assim como essas entidades, que também não estão ajustadas à evolução da tecnologia BIM, recebendo projetos sem as devidas informações nos modelos 3D. Este artigo aborda uma pesquisa bibliográfica detalhada relacionada com os problemas e dificuldades de implementação em gabinetes de projetos da tecnologia BIM, mais especificamente o conhecimento prático em alguns gabinetes de engenharia. Pretende-se demonstrar no artigo algumas alternativas e potenciais soluções para facilitar na adequação e implementação da metodologia BIM em gabinetes de projetos de pequena dimensão, especificamente na área de projetos de especialidades. Tenciona-se ainda propor um workflow que envolva os projetistas, os gabinetes e até as entidades de licenciamento, de modo que os modelos 3D desenvolvidos em BIM possam ser explorados ao máximo, buscando a redução nas perdas de recursos e de informações enquanto as entidades de licenciamento não se atualizam para a análise dos projetos em formato BIM.
- Industrial Metaverse Digital Twin: ISO 23247 Compliant Architecture for AI-Driven SimulationPublication . Oliveira Júnior, Alexandre de; Calvo-Rolle, José Luis; Pires, Rui; Leitão, PauloThe Industrial Metaverse marks a new stage in Industry 4.0, raising the representation level of Digital Twins (DT) from discrete elements to an interconnected network of assets covering the entire production ecosystem. This paradigm changing reflects advances in enabling technologies such as Artificial Intelligence (AI) and complex what-if simulations. As complexity increases, adopting established industrial standards for implementing DT functionalities becomes imperative to specify guidelines for companies and researchers. This paper proposes a functional architecture for DT implementation in compliance with ISO 23247 standard, aiming to support the development of interoperable and standardized solutions combined within the Industrial Metaverse. The architecture was employed to develop a DT framework for an automotive assembly line, covering the quality inspection process and embedding AI-based mechanisms to leverage the what-if simulation of deviations in structural parameters of the vehicle's body. Experimental results demonstrate the tool's ability to accurately predict outputs for critical quality parameters according to hypothetical measurement scenarios, leveraging the production stakeholders' understanding regarding the correlated impact of deviations at different structural points, and demonstrating the versatility and potential of combining AI strategies for what-if simulations.
- Innovation and creativity in tourism, business and social sciencesPublication . Nunes, AlcinaThe accommodation and food services sector is vital to Portugal’s tourism industry, contributing significantly to economic output and employment. This study analyses the sector’s business dynamics from 2004 to 2022, focusing on key indicators such as business entry, exit, and survival rates. The research uses recent administrative data to examine in an exploratory manner how businesses within the sector have responded to significant economic challenges, including the global financial crisis and the COVID-19 pandemic. The findings reveal a resilient yet evolving sector, with a noticeable shift towards corporate consolidation and a decline in sole proprietorships. The study highlights the sector’s sensitivity to economic fluctuations, underscoring the need for strategic planning and policy intervention to support sustained growth and stability. These insights provide valuable guidance for policymakers and industry stakeholders seeking to navigate future economic uncertainties and foster a more robust accommodation and food services sector in Portugal.
- Predicting Retail Store Transaction Patterns: A Comparison of ARIMA and Machine Learning ModelsPublication . Vaz, Clara B.; Sena, Inês; Braga, Ana Cristina; Novais, Paulo; Lima, José; Pereira, Ana I.Retail transactions represent sales of consumer goods, or final goods, by consumer companies. This sector faces security challenges due to the hustle and bustle of sales, affecting employees’ workload. In this context, it is essential to estimate the number of customers who will appear in the store daily so that companies can dynamically adjust employee schedules, aligning workforce capacity with expected demand. This can be achieved by forecasting transactions using past observations and forecasting algorithms. This study aims to compare the ARIMA time series algorithm with several Machine Learning algorithms to predict the number of daily transactions in different store patterns, considering data variability. The study identifies four typical store patterns based on these criteria using daily transaction data between 2019 and 2023 from all retail stores of the leading company in Portugal. Due to data variability and the results obtained, the algorithm that presents the most minor errors in predicting daily transactions is selected for each store. This study’s ultimate goal is to fill the gap in forecasting daily customer transactions and present a suitable forecasting model to mitigate risks associated with transactions in retail stores.