Sensing Technologies for Outdoor/Indoor Farming DOI Creative Commons
Luwei Wang,

Mengyao Xiao,

Xinge Guo

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(12), P. 629 - 629

Published: Dec. 19, 2024

To face the increasing requirement for grains as global population continues to grow, improving both crop yield and quality has become essential. Plant health directly impacts yield, making development of plant health-monitoring technologies Variable sensing outdoor/indoor farming based on different working principles have emerged important tools monitoring plants their microclimates. These can detect factors such water content, volatile organic compounds (VOCs), hormones released by plants, well environmental conditions like humidity, temperature, wind speed, light intensity. achieve comprehensive multidimensional assessment, multimodal sensors been developed. Non-invasive approaches are also gaining attention, leveraging biocompatible flexible without interference with its natural growth. Furthermore, wireless data transmission is crucial real-time efficient farm management. Reliable power supplies these systems vital ensure continuous operation. By combining wearable intelligent analysis remote monitoring, modern agriculture refined management, resource optimization, sustainable production, offering innovative solutions food security challenges.

Language: Английский

Augmented Tactile Perception of Robotic Fingers Enabled by AI‐Enhanced Triboelectric Multimodal Sensors DOI
Xi Zhao, Zhongda Sun, Chengkuo Lee

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(49)

Published: Aug. 8, 2024

Abstract Recent developments in robotics increasingly highlight the importance of sensing technology, especially tactile perception, enabling robots to effectively engage with their environment and interpret physical interactions. Due power efficiency low cost, triboelectric mechanism has been frequently studied for measuring pressure identifying materials enhance robot perception. Nevertheless, there limited exploration using effect detect curved surfaces, despite prevalence daily lives. Here, a multimodal sensor (TMTS) multilayered structural design is proposed recognize distinct materials, curvatures, simultaneously, thus decoupling different modalities enable more accurate detection. By attaching sensors robotic fingertips leveraging deep learning analytics, quantitative curvature measurement provides precise insights into an object's detailed geometric characteristics rather than merely assessing its overall shape, hence achieving automatic recognition 12 grasped objects 99.2% accuracy. The can be further used accurately softness under touch gestures hand, 94.1% accuracy, demonstrating significant potential wide‐ranging applications future robotic‐enabled intelligent society.

Language: Английский

Citations

13
Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems DOI Open Access
Xiangxiang Zhang, Chang-Guang Wang, Xin Pi

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.

Language: Английский

Citations

1
Long Live the Metaverse: Identifying the Potential for Market Disruption and Future Research DOI
Paul Benjamin Lowry, Wai Fong Boh, Stacie Petter

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Long Live the Metaverse: Identifying the Potential for Market Disruption and Future Research DOI
Paul Benjamin Lowry, Wai Fong Boh, Stacie Petter

et al.

Journal of Management Information Systems, Journal Year: 2025, Volume and Issue: 42(1), P. 3 - 38

Published: Jan. 2, 2025

Language: Английский

Citations

0
Long Live the Metaverse: Identifying the Potential for Market Disruption and Future Research DOI
Paul Benjamin Lowry, Wai Fong Boh, Stacie Petter

et al.

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Moving Toward Human‐Like Perception and Sensation Systems—From Integrated Intelligent Systems to Decentralized Smart Devices DOI Creative Commons
Zhongda Sun, Tianyiyi He, Zhihao Ren

et al.

Published: March 1, 2025

ABSTRACT Artificial Intelligence (AI) has shown the power to enhance functionality of sensors and enable intelligent human‐machine interfaces through machine learning‐based data analysis. However, good performance AI is always accompanied by a large amount high computational complexity. Though cloud computing appears be right solution this issue with advent 5G era, certain intelligence edge terminal also important make entire integrated system more efficient. The current development microelectronic, wearable, AI, neuromorphic technologies pave way realize advanced integrating silicon‐based high‐computing‐power chips anthropomorphic wearable sensory devices show potential achieve human‐like self‐sustainable decentralized next‐generation AI. Hence, in review, we systematically introduce related progress terms electronics that can mimic biological features humans' systems neuromorphic/in‐sensor technologies. Discussion on implementing perception sensation silicone‐based non‐silicone‐based functional units our perspectives are provided.

Language: Английский

Citations

0
Autonomous Tilt Sensing System Utilizing Optimized Fabrication‐Enhanced Nanocomposite Triboelectric Nanogenerator for Full‐Spherical Coverage DOI Open Access
Hyunwoo Cho, Yujin Jung,

Geunchul Kim

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract Electronic tilt sensors are extensively utilized in modern industrial applications such as construction, automotive, aerospace, and robotics. However, self‐powered with full‐spherical coverage remains underexplored. This study introduces an autonomous peak‐detection sensing (APTS) system utilizing a triboelectric nanogenerator (TS‐TENG) interdigitated electrodes (IDEs) ball mechanism. The TS‐TENG integrates spinel CuCo 2 O 4 (CCO) nanopillars on polymethyl methacrylate (PMMA) sub‐microfibrous structure. optimized CCO@PMMA‐based TENG exhibits significant enhancement performance. open‐circuit voltage increases from 176.23 to 391.82 V, 2.22‐fold increase, the short‐circuit current 29.40 91.87 µA, 3.12‐fold increase compared bare PMMA‐based TENG. Additionally, under load resistance of MΩ, generates maximum power 20.39 mW. APTS is successfully validated through both simulation experimental approaches. By implementing counting mechanism track types numbers positive negative peaks, achieves omnidirectional coverage. work not only elucidates optimization process CCO@PMMA composite influence CCO triboelectricity but also underscores potential TENGs 360° sensors.

Language: Английский

Citations

0
Flexible magnet/Fe layers-based triboelectric sensors for continuous monitoring of elbow bending with a low minimum sensing angle DOI
Q.W. Zhang, Zhongjie Li, Long Li

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110946 - 110946

Published: April 1, 2025

Language: Английский

Citations

0
Microdroplet splitting and mixing by portable triboelectric nanogenerator DOI
Qi Gao, Xiang Qin, Wenkai Liu

et al.

Nano Research, Journal Year: 2024, Volume and Issue: 18(2), P. 94907128 - 94907128

Published: Dec. 16, 2024

Language: Английский

Citations

0
Sensing Technologies for Outdoor/Indoor Farming DOI Creative Commons
Luwei Wang,

Mengyao Xiao,

Xinge Guo

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(12), P. 629 - 629

Published: Dec. 19, 2024

To face the increasing requirement for grains as global population continues to grow, improving both crop yield and quality has become essential. Plant health directly impacts yield, making development of plant health-monitoring technologies Variable sensing outdoor/indoor farming based on different working principles have emerged important tools monitoring plants their microclimates. These can detect factors such water content, volatile organic compounds (VOCs), hormones released by plants, well environmental conditions like humidity, temperature, wind speed, light intensity. achieve comprehensive multidimensional assessment, multimodal sensors been developed. Non-invasive approaches are also gaining attention, leveraging biocompatible flexible without interference with its natural growth. Furthermore, wireless data transmission is crucial real-time efficient farm management. Reliable power supplies these systems vital ensure continuous operation. By combining wearable intelligent analysis remote monitoring, modern agriculture refined management, resource optimization, sustainable production, offering innovative solutions food security challenges.

Language: Английский

Citations

0