Pedro Dinis Gaspar
Papers
22
Total Citations
535
H-Index
9
About
Pedro Dinis Gaspar is a prolific researcher whose work spans the intersections of industrial automation, precision agriculture, robotics, and human-centred production systems. He has made significant contributions to understanding Industry 4.0 and 5.0 paradigms, most notably through his highly cited systematic review on Industry 5.0's human-centred approach (2023, 319 citations), which critically examines how worker well-being, sustainability, and resilience can be meaningfully embedded into modern production environments. Gaspar's research in precision agriculture is particularly noteworthy, encompassing real-time weed detection systems, fruit recognition, and vine trunk localization — all leveraging deep learning and edge computing technologies deployed on resource-constrained devices such as the Jetson Nano and Edge TPU. His automated weed detection review (2020) and subsequent applied systems have helped define best practices in smart farming robotics. Beyond agriculture, Gaspar has advanced collaborative robotics for education and industry, promoting STEM-driven pedagogical frameworks and low-cost robotic platforms to democratize Industry 4.0 competencies. His more recent work on computer vision for fruit quality control and soft robotic gripper materials demonstrates a commitment to bridging computational intelligence with tangible industrial applications. Collectively, his portfolio reflects a researcher dedicated to making intelligent automation more accessible, sustainable, and human-aware.
Research Focus
Key Achievements
Top Papers
- 1Is Industry 5.0 a Human-Centred Approach? A Systematic Review319 citations · 2023
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- 3Automated Weed Detection Systems: A Review31 citations · 2020
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