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Development of a soil electrical conductivity measurement system in paddy fields

International Journal of Advances in Applied Sciences · Vol. 13 No. 2 (2024) · hlm. 389–400

DOI
10.11591/ijaas.v13.i2.pp389-400
ISSN
2722-2594, 2252-8814
Terbit
2024-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This study aims to develop a data collection system for measuring soil electrical conductivity (EC) in Paddy Fields using the Wenner measurement principle, with one electrode configuration based on the Veris 3100 measuring machine, and a second electrode configuration with fixed electrodes. The result is a system that measures soil EC using the fixed electrode configuration for more stable results compared to the coulter electrode configuration on the Veris 3100. This system comprises three main components: a 7-inch industrial touchscreen monitor used for real-time monitoring and storing collected data on external memory, a controller that provides reverse direct current (DC) power supply to the electrodes and measures voltage and current parameters on the electrodes, two mechanical configurations including six electrodes in contact with the soil. The system is developed to operate best after soil preparation and before seed sowing. The collected data is processed and compared to actual measurements using an artificial neural network (ANN), resulting in an R2=0.7449, equivalent to linear regression. The system has been successfully installed and operated on a handheld tractor and tested in Paddy Fields on the outskirts of Can Tho City, Vietnam.

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19 penulis · 49 tautan kepenulisan bersama · 12 lintas organisasi

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  • Can Tho University
  • Trường Đại học Kỹ thuật - Công nghệ Cần Thơ
  • Vinh Long University of Technology Education
  • Kien Giang University
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Vy-Khang TranCan Tho University6
Hai X. PhamCan Tho University6
Bao-Toan ThaiCan Tho University4
Chanh-Nghiem NguyenCan Tho University2
Van-Muot NguyenCan Tho University2
Hoang-Dung NguyenCan Tho University2
Van-Linh LamKien Giang University1
Phúc Hậu LêCan Tho University1
Huy-Thanh HoCan Tho University1
Ngọc-Tan VoCan Tho University1
Ngoc-Thanh NguyenCan Tho University1
Nhut-Thanh TranCan Tho University1
Minh-Thanh LeVinh Long University of Technology Education1
Thanh Tung PhamVinh Long University of Technology Education1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijaas.iaescore.com/index.php/IJAAS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Development of a soil electrical conductivity measurement system in paddy fields</dc:title>
	<dc:creator>Ho, The-Anh</dc:creator>
	<dc:creator>Bui, Van-Huu</dc:creator>
	<dc:creator>Nguyen, Van-Khanh</dc:creator>
	<dc:creator>Nguyen, Dinh-Tu</dc:creator>
	<dc:creator>Nguyen, Chi-Ngon</dc:creator>
	<dc:description xml:lang="en-US">This study aims to develop a data collection system for measuring soil electrical conductivity (EC) in Paddy Fields using the Wenner measurement principle, with one electrode configuration based on the Veris 3100 measuring machine, and a second electrode configuration with fixed electrodes. The result is a system that measures soil EC using the fixed electrode configuration for more stable results compared to the coulter electrode configuration on the Veris 3100. This system comprises three main components: a 7-inch industrial touchscreen monitor used for real-time monitoring and storing collected data on external memory, a controller that provides reverse direct current (DC) power supply to the electrodes and measures voltage and current parameters on the electrodes, two mechanical configurations including six electrodes in contact with the soil. The system is developed to operate best after soil preparation and before seed sowing. The collected data is processed and compared to actual measurements using an artificial neural network (ANN), resulting in an R2=0.7449, equivalent to linear regression. The system has been successfully installed and operated on a handheld tractor and tested in Paddy Fields on the outskirts of Can Tho City, Vietnam.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21036</dc:identifier>
	<dc:identifier>10.11591/ijaas.v13.i2.pp389-400</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 13, No 2: June 2024; 389-400</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v13.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/21036/13117</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science (IAES)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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