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Development of Automatic Mixing Process for Fertigation System in Rock Melon Cultivation

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1913-1919
ISSN
2088-8708, 2088-8708
Terbit
2018-06-01
Penerbit
Institute of Advanced Engineering and Science
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

This work proposed an automatic mixing system of nutrient solution for rock melon fertigation according to the required electrical conductivity (EC) level. Compared to the manual practice, this automatic system will ensure continuous supply of mixed nutrient solution without the need to daily check and mix new nutrient. Thus, this easy to use and low cost automatic system will reduce the burden of the farmers. This system uses an EC sensor to automatically check the concentration level of the mixed nutrient solution. Other than that, the system only consists of electronic pumps for mixing process and an Arduino board as the controller. The controller will monitor the EC level and run the mixing process when the EC level is below the required level. By calibrating the EC sensors, the test shows that the automatic mixing system is able to accurately keep the mixed nutrient solution concentration in a 400 L mixing reservoir at several required levels.

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18 penulis · 54 tautan kepenulisan bersama

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  • University of Technology Malaysia
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Mohd Saiful Azimi MahmudUniversity of Technology Malaysia4
Mohammad Shafiq Mohammad AshrafUniversity of Technology Malaysia2
Zakarya Mohammed Nasser Saleh MoteaUniversity of Technology Malaysia2
Razman AyopUniversity of Technology Malaysia2
Oon Yi HerUniversity of Technology Malaysia2
Aliyu Muhammad AbduUniversity of Technology Malaysia1
Usman Ullah SheikhUniversity of Technology Malaysia1
M. Hilman AhmadUniversity of Technology Malaysia1
Zaharah JohariUniversity of Technology Malaysia1
Michael Loong Peng TanUniversity of Technology Malaysia1
Nurul Ezaila AliasUniversity of Technology Malaysia1
Afiq HamzahUniversity of Technology Malaysia1
Norlina Binti ParamanUniversity of Technology Malaysia1
Razali IsmailUniversity of Technology Malaysia1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, pertama di-harvest 27 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
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