Measurement Sensors and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 11
Special Issue Editor
Interests: metrological characterization of measurement systems; analysis of uncertainty; statistical quality control; processing of images and measurement procedures applied to biometric measurements; thermofluid dynamics measurements; vibrational measurements
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past decade, measurements and sensors have become a cornerstone of technological innovation, enabling unprecedented data acquisition, monitoring, and control capabilities, and their evolution has been driven by the development of smart systems—from smart cities and smart grids to Industry 4.0 and digital agriculture—where measurement procedures and sensors form the essential link between the physical world and digital intelligence.
Advances in materials science, MEMS/NEMS, nanotechnology, and flexible electronics are leading to novel sensing platforms with improved sensitivity, selectivity, and robustness. Meanwhile, the integration of sensors with wireless communication technologies (IoT and 5G/6G) and AI-driven data analytics is opening up new perspectives in terms of real-time decision-making, autonomous systems, and adaptive environments.
The applications of modern measurement sensors are extremely diverse and encompass the following:
- Healthcare and biomedical engineering—wearable sensors, biosensors, and contactless diagnostic devices;
- Robotics and autonomous systems—perception, navigation, and human–machine interaction;
- Smart cities and infrastructures—structural health monitoring, environmental quality, mobility management;
- Precision agriculture and food safety—soil and crop monitoring, smart irrigation, and traceability;
- Energy systems—smart grids, renewable integration, and efficiency monitoring.
At the same time, the theory of measurement and the metrological characteristics of sensors (accuracy, resolution, sensitivity, stability, response time, and uncertainty) remain central to ensuring reliability and reproducibility, especially in safety-critical domains such as healthcare, aerospace, and industrial automation. The development of sensor calibration methods, standards, and uncertainty modelling is therefore essential to transform raw sensing signals into meaningful and actionable data.
Dr. Laura Fabbiano
Guest Editor
Manuscript Submission Information
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Keywords
- measurement theory
- sensor design and fabrication
- calibration and uncertainty analysis
- multimodal sensing
- signal processing and sensor fusion
- AI/ML for sensor data
- metrology in emerging sensors
- smart cities and infrastructures
- environmental and agricultural monitoring
- smart applications
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