412 documents found, page 1 of 42
Peach tree canopy assessment through aerial image detection for improved manage...
Simões, M.P.; Veloso, Abel; Assunção, E.; Moreira, E.; Teixeira, M.C.C.; Gaspar, Pedro DinisPrecision agriculture aims to detect differences in plant development within adefined area, allowing to adjust production techniques according to the plantdevelopment. Plant development is evaluated by remote detection allowing theapplication of variable rate application techniques. The efficiency of precisionagriculture is correlated with large areas of the same crop where plantsdevelopment is highly correlate...
Empowering Eco-Friendly Choices: An Environmental Impact Assessment Decision Su...
Gomes, Carolina; Pires, Irina; Monteiro, Letícia; Lima, Tânia M.; Gaspar, Pedro DinisThe textile and clothing industry is one of the industries with the highest environmental impact, with a huge amount of waste during the product life cycle. However, there are few tools available for companies to assess the environmental impact of their production process. In this way, a decision support system was developed so that producers can calculate the environmental impact associated with the textile an...
Sociodemographic Data and Work-Related Musculoskeletal Symptoms in the Metal Po...
Alves, Joel; Lima, Tânia M.; Gaspar, Pedro DinisThe prevalence of work-related musculoskeletal disorders is a red flag in industries and is considered an occupational health issue that affects the operator’s well-being, safety, and health. This study contributes to understanding the impact of Industry 5.0 on the workforce and emphasizes the importance of promoting a safe and healthy working environment. Thus, it focuses on the assessment of anthropometric ch...
Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard ...
Corceiro, Ana; Pereira, Nuno José Matos; Alibabaei, Khadijeh; Gaspar, Pedro DinisThe global population’s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural networks (CNNs), are employed in precision agriculture (PA) for weed detection. This study focuses on testing CNN architectures for image classification tasks using ...
The development of a prototype solution for detecting wear and tear in pedestri...
Rosa, Gonçalo J.M.; Afonso, João M.S.; Gaspar, Pedro Dinis; Soares, Vasco N.G.J.; Caldeira, J.M.L.P.Crosswalks play a fundamental role in road safety. However, over time, many suffer wear and tear that makes them difficult to see. This project presents a solution based on the use of computer vision techniques for identifying and classifying the level of wear on crosswalks. The proposed system uses a convolutional neural network (CNN) to analyze images of crosswalks, determining their wear status. The design i...
A mobile application for detecting and monitoring the development stages of wil...
Videira, João; Gaspar, Pedro Dinis; Soares, V.N.G.J.; Caldeira, J.M.L.P.Wild flowers and plants appear spontaneously. They form the ecological basis on which life depends. They play a fundamental role in the regeneration of natural life and the balance of ecological systems. However, this irreplaceable natural heritage is at risk of being lost due to human activity and climate change. The work presented in this paper contributes to the conservation effort. It is based on a previous...
Detecting wear and tear in pedestrian crossings using computer vision technique...
Rosa, Gonçalo J.M.; Afonso, João M.S.; Gaspar, Pedro Dinis; Soares, V.N.G.J.; Caldeira, J.M.L.P.Pedestrian crossings are an essential part of the urban landscape, providing safe passage for pedestrians to cross busy streets. While some are regulated by timed signals and are marked with signs and lights, others are simply marked on the road and do not have additional infrastructure. Nevertheless, the markings undergo wear and tear due to traffic, weather, and road maintenance activities. If pedestrian cros...
Agricultural practices for biodiversity enhancement: evidence and recommendatio...
Marcelino, Sara M.; Gaspar, Pedro Dinis; do Paço, Arminda; Lima, Tânia M.; Monteiro, Ana; Franco, José Carlos; Santos, Erika S.; Campos, RebecaAgricultural expansion and intensification worldwide has caused a reduction in ecological infrastructures for insects, herbaceous plants, and vertebrate insectivores, among other organisms. Agriculture is recognized as one of the key influences in biodiversity decline, and initiatives such as the European Green Deal highlight the need to reduce ecosystem degradation. Among fruit crops, grapes are considered one...
Towards sustainable agriculture: A critical analysis of agrobiodiversity assess...
Marcelino, Sara M.; Gaspar, Pedro Dinis; do Paço, Arminda; Lima, Tânia M.; Monteiro, Ana; Franco, José Carlos; Santos, Erika S.; Campos, RebecaAgriculture intensification has driven the loss of biodiversity at a global level. The imple- mentation of strategies to conserve and promote biodiversity in agricultural areas can be favoured by adequate assessment methods that foster the awareness of decision makers about the impact of management practices. This paper presents a state-of-the-art review of assessment methods of the overall biodiversity in agri...
A study on acoustic bird detection in the context of smart agriculture
Cardoso, Fábio; Carvalho, Daniel; Gaspar, Pedro Dinis; Soares, V.N.G.J.; Caldeira, J.M.L.P.Bird attacks on crops represent one of the main challenges faced by farmers to make a farm profitable and sustainable. This challenge requires a paradigm shift from old, traditional, ineffective methods, towards the incorporation of smart farming technologies. Intelligent or precision agriculture contributes to the effective and efficient management of resources and, consequently, an increase in production. Thi...