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Short Range Radio Frequency (RF) Data Acquisition Unit for Agricultural Product Monitoring System

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Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications (RoViSP 2021)

Abstract

This research emphasized on the experimentation performed on the 2.4 Ghz radio frequency (RF) module, utilized on Standstill Monitoring System (SMS), to discover the factors hindering the capabilities of the RF range and data stability in plantation environment, then proposed a signal enhancement technique. The architecture of SMS consists of sensor modules such as temperature, humidity, soil moisture and soil nutrition sensor to analyze as well as monitor real-time data on agriculture parameters through an IoT dashboard. The experiments were carried out, where the transmitter (Tx) was placed at the three ground stations with three different surrounding condition which is no obstruction, mild obstructions and full obstructions. The receiver (Rx) module was moved away from the ground station and transmission status was monitored. Findings showed that the transmission range without no obstruction is 70 m, with partial blockage is 50 m and total blockage is 10 m. By applying signal enhancement method which is implementing capacitor and breakout board, the range has been boosted to 350 m, 320 m and 160 m respectively. With this findings, wireless communication waypoint can be plotted out at a Harumanis plantation which allows farmers to supervise their plantation at distance.

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Acknowledgements

This work was supported by a Universiti Sains Malaysia, Special (Matching) Short-Term Grant with Project No: 304/PAERO/6315715. The authors would like to acknowledge School of Aerospace Engineering, Universiti Sains Malaysia and Universiti Malaysia Perlis for providing research facilities to conduct this work.

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Correspondence to A. B. Elmi .

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Shatir, S.M.N.S., Elmi, A.B., Akhtar, M.N., Abdullah, M.N., Ismail, A.H. (2024). Short Range Radio Frequency (RF) Data Acquisition Unit for Agricultural Product Monitoring System. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_24

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