Raul Morais
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View article: A Versatile and Low-Cost IoT Solution for Bioclimatic Monitoring in Precision Viticulture
A Versatile and Low-Cost IoT Solution for Bioclimatic Monitoring in Precision Viticulture Open
Due to the effects of climate change, population growth, and the need for site-specific management in viticulture, a low-cost IoT system for bioclimatic monitoring in precision viticulture was developed. The aim of this project was to desi…
View article: Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard
Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard Open
Proper management of water resources in agriculture is of utmost importance for sustainable productivity, especially under the current context of climate change. However, many smart agriculture systems, including for managing irrigation, i…
View article: Processo de enfermagem a cliente com insuficiência cardíaca congestiva: relato de experiência
Processo de enfermagem a cliente com insuficiência cardíaca congestiva: relato de experiência Open
A Coarctação de Aorta (CoA) e a Insuficiência Cardíaca Congestiva (ICC) são condições cardiovasculares que impactam diretamente a perfusão tecidual e a qualidade de vida dos pacientes. Diante disso, destaca-se o papel do enfermeiro no reco…
View article: Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture
Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture Open
The development of reliable visual inference models is often constrained by the burdensome and time-consuming processes involved in collecting and annotating high-quality datasets. This challenge becomes more acute in domains where key phe…
View article: The Architecture of Emergence—Designing for Regenerative Futures
The Architecture of Emergence—Designing for Regenerative Futures Open
Emergent architecture challenges conventional design by embracing complexity, adaptability, and the dynamic interplay between built and natural environments. Rather than imposing rigid structures, this approach fosters biological processes…
View article: Benchmarking Controllers for Low-Cost Agricultural SCARA Manipulators
Benchmarking Controllers for Low-Cost Agricultural SCARA Manipulators Open
Agriculture needs to produce more with fewer resources to satisfy the world’s demands. Labor shortages, especially during harvest seasons, emphasize the need for agricultural automation. However, the high cost of commercially available rob…
View article: Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data
Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data Open
Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This is crucial for disease monitoring, and the use of high-spatial-reso…
View article: Floristic Morpho-Ecological Strategies: Methodological Approach to Characterize Robustness of Vegetation
Floristic Morpho-Ecological Strategies: Methodological Approach to Characterize Robustness of Vegetation Open
Resistance and resilience are usually applied to discuss the functionality of systems, once both describe the responses of biological units to environmental alterations. With this purpose, an analytical methodology focused on the descripti…
View article: Author Correction: A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture
Author Correction: A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture Open
View article: Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: a case-study on the mySense platform
Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: a case-study on the mySense platform Open
View article: A review of advanced controller methodologies for robotic manipulators
A review of advanced controller methodologies for robotic manipulators Open
With the global population on the rise and a declining agricultural labor force, the realm of robotics research in agriculture, such as robotic manipulators, has assumed heightened significance. This article undertakes a comprehensive expl…
View article: Conventional and Zero Trust Security Measures for Precision Agriculture Devices: the mySense’s VineInspector Case-study
Conventional and Zero Trust Security Measures for Precision Agriculture Devices: the mySense’s VineInspector Case-study Open
View article: Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal
Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal Open
Developing deep learning models often involves working with balanced datasets. However, in real-world scenarios, class equilibrium is rarely observed. To address this, oversampling and undersampling techniques are commonly employed, with a…
View article: Artificial intelligence as-a-service in agriculture: sketching a scalable platform for multipurpose decision support
Artificial intelligence as-a-service in agriculture: sketching a scalable platform for multipurpose decision support Open
View article: Cybersecurity in Precision Agriculture: a short review and a practical status assessment over mySense IoT-based platform
Cybersecurity in Precision Agriculture: a short review and a practical status assessment over mySense IoT-based platform Open
View article: PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts
PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts Open
Remote sensing (RS) is a rapidly evolving field that facilitates the study of phenomena on the Earth’s surface. Through various platforms, including satellites, manned aircraft, and remotely piloted aerial vehicles (RPAV), RS has been stra…
View article: A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection
A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection Open
Grapevines (Vitis vinifera L.) are one of the most economically relevant crops worldwide, yet they are highly vulnerable to various diseases, causing substantial economic losses for winegrowers. This systematic review evaluates the applica…
View article: Advancing digital ampelography: Automated classification of grapevine varieties
Advancing digital ampelography: Automated classification of grapevine varieties Open
View article: Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels
Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels Open
The Douro Demarcated Region is fundamental to local cultural and economic identity. Despite its importance, the region faces the challenge of abandoned vineyard plots, caused, among other factors, by the high costs of maintaining vineyards…
View article: A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture
A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture Open
Climate change pose significant challenges to modern agriculture management systems, threatening food production and security. Therefore, tackling its effects has never been so imperative to attain sustainable food access and nutrition wor…
View article: Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters
Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters Open
Understanding geometric and biophysical characteristics is essential for determining grapevine vigor and improving input management and automation in viticulture. This study compares point cloud data obtained from a Terrestrial Laser Scann…
View article: Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives
Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives Open
Synthetic aperture radar (SAR) technology has emerged as a pivotal tool in viticulture, offering unique capabilities for various applications. This study provides a comprehensive overview of the current state-of-the-art applications of SAR…
View article: ARPocketLab—A Mobile Augmented Reality System for Pedagogic Applications
ARPocketLab—A Mobile Augmented Reality System for Pedagogic Applications Open
The widespread adoption of digital technologies in educational systems has been globally reflecting a shift in pedagogic content delivery that seems to fit modern generations of students while tackling relevant challenges faced by the curr…
View article: Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data
Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data Open
Water is essential for maintaining plant health and optimal growth in agriculture. While some crops depend on irrigation, others can rely on rainfed water, depending on regional climatic conditions. This is exemplified by grapevines, which…
View article: Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting
Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting Open
The proliferation of classification-capable artificial intelligence (AI) across a wide range of domains (e.g., agriculture, construction, etc.) has been allowed to optimize and complement several tasks, typically operationalized by humans.…
View article: The impact of ground control points for the 3D study of grapevines in steep slope vineyards
The impact of ground control points for the 3D study of grapevines in steep slope vineyards Open
Data acquisition through unmanned aerial vehicles (UAVs) has become integral to the study of agricultural crops, especially for multitemporal analyses spanning the entire growing season. Ensuring accurate data alignment is essential not on…
View article: AS ATRIBUIÇÕES CLÍNICAS DO TROMBOEMBOLISMO VENOSO
AS ATRIBUIÇÕES CLÍNICAS DO TROMBOEMBOLISMO VENOSO Open
O tromboembolismo venoso é uma condição que pode ser fracionada em trombose venosa profunda e tromboembolismo pulmonar. Estas compõe este espectro a qual proporcionalmente ao estado hemodinâmico, cursando não obrigatoriamente com o trio tí…
View article: Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review
Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review Open
In recent years, the use of remote sensing data obtained from satellite or unmanned aerial vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield prediction, soil classification or crop mapping. The ready…
View article: A Systematic Review on Automatic Insect Detection Using Deep Learning
A Systematic Review on Automatic Insect Detection Using Deep Learning Open
Globally, insect pests are the primary reason for reduced crop yield and quality. Although pesticides are commonly used to control and eliminate these pests, they can have adverse effects on the environment, human health, and natural resou…
View article: A deep learning approach for automatic counting of bedbugs and grape moth
A deep learning approach for automatic counting of bedbugs and grape moth Open
The bedbug and the grape moth are the most significant pests affecting rice and vineyards, causing great damage. However, these pests are only two examples of the many insect pests that exist with great potential to cause significant crop …