A Study on Insect Journey using Sensor

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 02 | 02 | Page :
    By

    Kazi Kutubuddin Sayyad Liyakat,

  • Heena T. Shaikh,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Maharashtra, India
  2. Assistant Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Maharashtra, India

Abstract

The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute.
We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the
living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a
suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a
beetle’s journey to piezoelectric substrates that record the delicate pressure of a walking ant, from
microphones that capture the sub-sonic language of the hive to environmental loggers mapping microclimates
– we cease to be mere observers. We become auditors of a world in constant, intricate motion. This
research is not merely about collecting more data; it is about translating the silent, frantic, and astonishingly
complex symphony of the insect world into a lexicon we can begin to understand. It is an attempt to hear the
music, not just dissect the instrument.

Keywords: Insects, sensors, journey, honeybee, GPS

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikh. A Study on Insect Journey using Sensor. International Journal of Insects. 2025; 02(02):-.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikh. A Study on Insect Journey using Sensor. International Journal of Insects. 2025; 02(02):-. Available from: https://journals.stmjournals.com/iji/article=2025/view=234932


References

  1. Kumtole S, Abhangrao CM, Liyakat KKS, Dhanwe SS, Sultanabanu, Nagrale M, et al. Automatic wall painting robot. J Image Process Intell Remote Sens. 2022;2(6):[pages not specified].

  2. Abhangrao CM, Liyakat KKS. A study on hybrid intelligence in COBOT. J Mech Robot. 2025;10(2):15-29.

  3. Liyakat S. Integrating IoT and Mechanical Systems in Mechanical Engineering Applications. J Mech Robot. 2023;8(3):1-6.

  4. Dhanwe SS, Liyakat KKS. AI-driven IoT in Robotics: A Review. J Mech Robot. 2024;9(1):41-48.

  5. Sultanabanu. Nanomedicine as a Potential Therapeutic Approach to COVID-19. Int J Appl Nanotechnol. 2023;9(2):27-35. Available from: https://materials.journalspub.info/index.php?journal=IJAN&page=article&op=view&path%5B%5D=1038.

  6. Nagrale M, Pol RS, Birajadar GB, Mulani AO. Internet of Robotic Things in Cardiac Surgery: An Innovative Approach. Afr J Biol Sci. 2024;6(6):709-725. doi: 10.33472/AFJBS.6.6.2024.709-725.

  7. Jadhav VL, Shinde AP. Detection of Fire in the Environment via a Robot Based Fire Fighting System Using Sensors. Int J Adv Res Sci Commun Technol. 2024;4(4):410-418.

  8. Liyakat S. Nanotechnology in Medical Applications: A Study. Nano Trends. 2024;26(2):1-11.

  9. Liyakat S. Nanotechnology in BattleField: A Study. J Nanosci Nanotechnol Appl. 2024;14(2):18-30.

  10. Liyakat S. A Study on AI-driven IoT (AIIoT) based Decision Making: KSK Approach in Robot for Medical Applications. Recent Pat Nanotechnol. 2024;1(3):1-17. Available from: https://matjournals.net/engineering/index.php/RTSST/article/view/1044.

  11. Liyakat S. Wireless Train Collision Avoidance System. Adv Res Commun Eng. 2024;1(3):16-25.

  12. Liyakat S. Internet of Battlefield Things: An IoBT-inspired Battlefield of Tomorrow. J Telecommun Syst Netw. 2024;11(3):11-19.

  13. Mishra SB. AI-Driven-IoT (AIIoT)-Based Decision Making in Manufacturing Processes in Mechanical Engineering. J Mech Robot. 2024;9(2):27-38.

  14. Liyakat S. Nanorobotics: A Review. Int J Appl Nanotechnol. 2023;9(2):36-43. doi: 10.37628/ijan.v9i2.1019.

  15. Liyakat S. Sensor and IoT centered Smart Agriculture by NodeMCU. Recent Trends Sens Technol. 2024;11(3):24-32. Available from: https://journals.stmjournals.com/rtsrt/article=2024/view=179744.

  16. Liyakat S. Internet of Robotics Things in Industrial Applications: A Study. J Control Instrum Eng. 2025;11(1):1-10.

  17. Liyakat S. e-Skin Applications in Healthcare and Robotics: A Study. J Adv Robot. 2025;12(1):13-21.

  18. Liyakat S. Millimeter Wave in Internet of Things Connectivity: A Study. Int J Wirel Secur Netw. 2025;3(1):13-23.

  19. Liyakat KS. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. Int J Data Sci. 2025;3(1):31-38.

  20. Liyakat KS. Multimedia Technology in Healthcare: A Study. J Multimed Technol. 2025;12(1):23-29.

  21. Patil JM. Robotic Surgery using AI-Driven-IoT Based Decision Making for Safety: A Study. Int J Artif Intell. 2025;1(1):35-44.

  22. Liyakat KKS. Nanorobotics in Cancer Treatment: A Study. Int J Nanomater Nanotechnol. 2025;11(1):44-52. Available from: https://journalspub.com/publication/ijnn/article=16043.

  23. Liyakat KKS. Nanomaterial and e-Skin Technology: A Study. Int J Nanobiotechnol. 2025;11(1):10-16.

  24. Mulla NR, Liyakat KKS. Pipeline Pressure and Flow Rate Monitoring Using IoT Sensors and ML Algorithms to Detect Leakages. Int J Artif Intell Mech Eng. 2025;1(1):20-30.

  25. Liyakat S. Nanorobots: The Fight against Cholesterol. Nano Trends J Nanotechnol Appl.
    2025;27(2). Available from: https://journals.stmjournals.com/nts/article=2025/view=205244.

Ahead of Print Subscription Review Article
Volume 02
02
Received 17/09/2025
Accepted 19/09/2025
Published 27/12/2025
Publication Time 101 Days
122

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