Integrated soil monitoring system for Internet of Thing (IOT) Applications

Spectroscopy is widely used in various field, including in agriculture to determine the contamination of soil in order to produce the good quality of food and to avoid the excessive use of fertilizer, thereby minimize the impact on the environment. However, the commercial and common method of soil s...

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Main Authors: Lau, Xin Yi, Soo, Chun Heng, Yusof, Yusmeeraz, Isaak, Suhaila
Format: Conference or Workshop Item
Published: 2020
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Online Access:http://eprints.utm.my/id/eprint/94160/
http://dx.doi.org/10.1007/978-981-15-5281-6_5
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Institution: Universiti Teknologi Malaysia
id my.utm.94160
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spelling my.utm.941602022-02-28T13:24:58Z http://eprints.utm.my/id/eprint/94160/ Integrated soil monitoring system for Internet of Thing (IOT) Applications Lau, Xin Yi Soo, Chun Heng Yusof, Yusmeeraz Isaak, Suhaila TK Electrical engineering. Electronics Nuclear engineering Spectroscopy is widely used in various field, including in agriculture to determine the contamination of soil in order to produce the good quality of food and to avoid the excessive use of fertilizer, thereby minimize the impact on the environment. However, the commercial and common method of soil spectroscopy has some limitation such as bulky in size, costly and non-real-time system. In this study, a high-speed electronic data acquisition via machine learning on FPGA is implemented to efficiently monitor the macronutrients level in soil, which would offer economic benefit. Our focus is particularly on recognizing exact photon level absorbed by soil by applying photon count processing techniques to monitor the macronutrient in soil samples. The hardware architectures on FPGA feature a 16-bit Kogge Stone adder to process the input signals from the sensing module, LED light control system, time frame setting system and data synchronization via cloud for Internet of Thing (IoT) application. The proposed photon counting system has been demonstrated using visible range wavelength of 630, 550, and 470 nm, respectively. In addition, the input photon signal can be varied from 0 to 200 kHz and frame time period of 10 ms produces the optimum counting result with the percentage variation from 0% to maximum of 15% as compared to the actual counting from the signal generated by the function generator. Apart from that, a real-time system for IoT application has been successfully tested. 2020 Conference or Workshop Item PeerReviewed Lau, Xin Yi and Soo, Chun Heng and Yusof, Yusmeeraz and Isaak, Suhaila (2020) Integrated soil monitoring system for Internet of Thing (IOT) Applications. In: 11th National Technical Symposium on Unmanned System Technology, NUSYS 2019, 2 - 3 December 2019, Kuantan, Pahang. http://dx.doi.org/10.1007/978-981-15-5281-6_5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lau, Xin Yi
Soo, Chun Heng
Yusof, Yusmeeraz
Isaak, Suhaila
Integrated soil monitoring system for Internet of Thing (IOT) Applications
description Spectroscopy is widely used in various field, including in agriculture to determine the contamination of soil in order to produce the good quality of food and to avoid the excessive use of fertilizer, thereby minimize the impact on the environment. However, the commercial and common method of soil spectroscopy has some limitation such as bulky in size, costly and non-real-time system. In this study, a high-speed electronic data acquisition via machine learning on FPGA is implemented to efficiently monitor the macronutrients level in soil, which would offer economic benefit. Our focus is particularly on recognizing exact photon level absorbed by soil by applying photon count processing techniques to monitor the macronutrient in soil samples. The hardware architectures on FPGA feature a 16-bit Kogge Stone adder to process the input signals from the sensing module, LED light control system, time frame setting system and data synchronization via cloud for Internet of Thing (IoT) application. The proposed photon counting system has been demonstrated using visible range wavelength of 630, 550, and 470 nm, respectively. In addition, the input photon signal can be varied from 0 to 200 kHz and frame time period of 10 ms produces the optimum counting result with the percentage variation from 0% to maximum of 15% as compared to the actual counting from the signal generated by the function generator. Apart from that, a real-time system for IoT application has been successfully tested.
format Conference or Workshop Item
author Lau, Xin Yi
Soo, Chun Heng
Yusof, Yusmeeraz
Isaak, Suhaila
author_facet Lau, Xin Yi
Soo, Chun Heng
Yusof, Yusmeeraz
Isaak, Suhaila
author_sort Lau, Xin Yi
title Integrated soil monitoring system for Internet of Thing (IOT) Applications
title_short Integrated soil monitoring system for Internet of Thing (IOT) Applications
title_full Integrated soil monitoring system for Internet of Thing (IOT) Applications
title_fullStr Integrated soil monitoring system for Internet of Thing (IOT) Applications
title_full_unstemmed Integrated soil monitoring system for Internet of Thing (IOT) Applications
title_sort integrated soil monitoring system for internet of thing (iot) applications
publishDate 2020
url http://eprints.utm.my/id/eprint/94160/
http://dx.doi.org/10.1007/978-981-15-5281-6_5
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