An Overview of Software Sensor Applications in Biosystem Monitoring and Control

Sensors, Год журнала: 2024, Номер 24(20), С. 6738 - 6738

Опубликована: Окт. 20, 2024

This review highlights the critical role of software sensors in advancing biosystem monitoring and control by addressing unique challenges biological systems pose. Biosystems-from cellular interactions to ecological dynamics-are characterized intrinsic nonlinearity, temporal variability, uncertainty, posing significant for traditional approaches. A challenge highlighted is that what typically measurable may not align with needs be monitored. Software offer a transformative approach integrating hardware sensor data advanced computational models, enabling indirect estimation hard-to-measure variables, such as stress indicators, health metrics animals humans, key soil properties. article outlines advancements technologies their integration into model-based systems, leveraging capabilities Internet Things (IoT) devices, wearables, remote sensing, smart sensors. It provides an overview common methodologies designing sensors, focusing on modelling process. The discussion contrasts hypothetico-deductive (mechanistic) models inductive (data-driven) illustrating trade-offs between model accuracy interpretability. Specific case studies are presented, showcasing applications use Kalman filter greenhouse control, detection organic matter, sound recognition algorithms early respiratory infections animals. Key including complexity inherent individual variabilities, simplicity predictive performance, also discussed. emphasizes potential enhance decision-making promote sustainability agriculture, healthcare, environmental monitoring.

Язык: Английский

Precisely tuning ε′-negative and ε′-near-zero responses by synergistic effect of graphene and carbon black in ternary metacomposites

Diamond and Related Materials, Год журнала: 2024, Номер 150, С. 111758 - 111758

Опубликована: Ноя. 7, 2024

Язык: Английский