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Abstract

Future Advancements and Potential Applications of Biomimetic Sensors in Agriculture †

1
Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
2
Henan International Joint Laboratory of Laser Technology in Agriculture Science, Zhengzhou 450002, China
3
State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, China
*
Author to whom correspondence should be addressed.
Presented at the 1st International Online Conference on Biomimetics (IOCB 2024), 15–17 May 2024; Available online: https://sciforum.net/event/IOCB2024.
Proceedings 2024, 107(1), 9; https://doi.org/10.3390/proceedings2024107009
Published: 15 May 2024
Global population growth, environmental degradation, climate change, and geopolitical issues are putting pressure on sectors like agriculture, forestry, water management, environmental protection, and biodiversity preservation, making the sustainable use of the environment a growing challenge. The potential uses of biomimetic sensors in agriculture and other sectors have drawn a lot of interest in recent years. Despite extensive research on biomimetic sensors in general, a comprehensive analysis of their unique applications and developments in agriculture is still lacking. Hence, this paper aims to provide a comprehensive understanding of the future advancement and application of biomimetic sensors’ potential in various sectors, highlighting their potential in agriculture. Through synthesizing the available literature from the last 10 years, this paper delves into the integration of biomimetic sensors in agricultural practices, highlighting potential benefits and identifying current limitations, challenges, and construction. It will encourage researchers, experts, and industry professionals to explore new ways to enhance biomimetic sensor capabilities in the agricultural sector. This review suggests that biomimetic sensors in agriculture require further studies to develop advanced technologies, optimize design, enhance capabilities, and functionality, and integrate fields like biology, materials science, and engineering. Integrating data analytics and machine learning could lead to precision agriculture and real-time crop health monitoring.

Author Contributions

Conceptualization, M.I.A.; Validation, M.I.A., H.C., L.L. and J.H.; Resources, M.I.A., H.C., L.L. and J.H.; Writing—original draft preparation, M.I.A.; Writing—review, M.I.A.; Editing, M.I.A., H.C., L.L. and J.H.; Investigation, M.I.A.; Supervision, M.I.A. and J.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created.

Conflicts of Interest

The authors declare no conflicts of interest.
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Share and Cite

MDPI and ACS Style

Abdulraheem, M.I.; Chen, H.; Li, L.; Hu, J. Future Advancements and Potential Applications of Biomimetic Sensors in Agriculture. Proceedings 2024, 107, 9. https://doi.org/10.3390/proceedings2024107009

AMA Style

Abdulraheem MI, Chen H, Li L, Hu J. Future Advancements and Potential Applications of Biomimetic Sensors in Agriculture. Proceedings. 2024; 107(1):9. https://doi.org/10.3390/proceedings2024107009

Chicago/Turabian Style

Abdulraheem, Mukhtar Iderawumi, Hongjun Chen, Linze Li, and Jiandong Hu. 2024. "Future Advancements and Potential Applications of Biomimetic Sensors in Agriculture" Proceedings 107, no. 1: 9. https://doi.org/10.3390/proceedings2024107009

APA Style

Abdulraheem, M. I., Chen, H., Li, L., & Hu, J. (2024). Future Advancements and Potential Applications of Biomimetic Sensors in Agriculture. Proceedings, 107(1), 9. https://doi.org/10.3390/proceedings2024107009

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