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David de Sousa Pascoal Non-PhD Collaborator

BIO

Name: David de Sousa Pascoal

Aggregation: Non-PhD Collaborator

Orcid ID: 0009-0003-3111-7199

Ciência Vitae: 5A19-83D0-60C3

Email: davidpascoal@utad.pt

Start date: 11-05-2025

Research Groups

Technological innovations to support agrarian systems

Publications

A Versatile and Low-Cost IoT Solution for Bioclimatic Monitoring in Precision Viticulture
Vieira A., Silva N., Pascoal D., Morais R., (2026) A Versatile and Low-Cost IoT Solution for Bioclimatic Monitoring in Precision Viticulture Future Internet 18 (16). ISSN: 19995903. doi: 10.3390/fi18010016.
AI Agent-Based Sensor Monitoring for IoT-Enabled Precision Agriculture: A Case Study in Workflow Automation
Chojka A., Adão T., Pascoal D., Silva N., Peres E., Morais R., (2026) AI Agent-Based Sensor Monitoring for IoT-Enabled Precision Agriculture: A Case Study in Workflow Automation Procedia Computer Science 278 :700-708. ISSN: 18770509. doi: 10.1016/j.procs.2026.03.041.
AI-Powered Grape Cluster Detection in Vineyards: A Systematic Review from Image Analysis to Business Process Optimization in Smart Viticulture
Chojka A., Adão T., Pascoal D., Silva N., Peres E., Morais R., (2026) AI-Powered Grape Cluster Detection in Vineyards: A Systematic Review from Image Analysis to Business Process Optimization in Smart Viticulture Procedia Computer Science 278 :688-699. ISSN: 18770509. doi: 10.1016/j.procs.2026.03.040.
Determining the Geographical Origin of Wine: A Short Survey of Methods and Insights
Chojka A., Pascoal D., Adão T., Silva N., Peres E., Morais R., (2026) Determining the Geographical Origin of Wine: A Short Survey of Methods and Insights Procedia Computer Science 278 :352-361. ISSN: 18770509. doi: 10.1016/j.procs.2026.03.001.
Model-as-a-Service for Sustainable Viticulture: A Comprehensive Science-Driven Decision Support Platform
Adão T., Pascoal D., Portela F., Pádua L., Fernandes A., Fonseca A., Freitas T., Fraga H., Menz C., Chojka A., Silva N., Santos J., Peres E., Morais R., (2026) Model-as-a-Service for Sustainable Viticulture: A Comprehensive Science-Driven Decision Support Platform Procedia Computer Science 278 :340-351. ISSN: 18770509. doi: 10.1016/j.procs.2026.02.471.