PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

J

• Abdulwahid, A. H. (2020). IoT based water quality monitoring system for rural areas. In 9th International Conference on Renewable Energy Research and Application (ICRERA 2020) (pp. 279-282). IEEE Publishing. https://doi.org/10.1109/ICRERA49962.2020.9242798

• Budiman, F., Rivai, M., & Nugroho, M. A. (2019). Monitoring and control system for ammonia and pH levels for fish cultivation implemented on Raspberry Pi 3B. In International Seminar on Intelligent Technology and Its Applications (ISITIA 2019) (pp. 68-73). IEEE Publishing. https://doi.org/10.1109/ISITIA.2019.8937217

• Dalun, H., & Abdullah, M. O. (2021). The primary pollutants of the river are domestic sewage, livestock waste, farms, runoffs from towns, silt from earthworks, leachate from garbage dumps, runoff from farms, litter from riverside squatters and mining waste. Journal of Cleaner Production, 303, 1-13. https://doi.org/10.1016/j.jclepro.2021.127091

• Madhavireddy, V., & Koteswarrao, B. (2018). Smart water quality monitoring system using IoT technology. International Journal of Engineering & Technology, 7(4.36), 636-639. https://doi.org/10.14419/ijet.v7i4.36.24214

• Meghana, M., Kumar, K., Verma, R., & Kiran, D. (2019). Design and development of real-time water quality monitoring system. In 2019 Global Conference for Advancement in Technology (GCAT 2019) (pp. 527-533). IEEE Publishing. https://doi.org/10.1109/GCAT47503.2019.8978414.

• Priya, S. K., Shenbagalakshmi, G., & Revathi, T. (2019). Architecture of smart sensors for real time drinking water quality and contamination detection in water distributed mains. Romanian Journal of Information Science and Technology, 22(3-4), 202-214.

• Supriadi, O., Sunardi, A., Baskara, H. A., & Safei, A. (2019). Controlling pH and temperature aquaponics use proportional control with Arduino and Raspberry. IOP Conference Series: Materials Sciience and Engineering, 550(1), 1-9. https://doi.org/10.1088/1757-899X/550/1/012016

• Varsha, L., Anjitha, H., Akshay, M., Aruna, P., Jagadeesh, B., & Audre, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2, 181-186. https://doi.org/10.1016/j.gltp.2021.08.062

• Yuan, F., Huang, Y., Chen, X., & Cheng, E. (2018). A biological sensor system using computer vision for water quality monitoring. IEEE Access, 6, 61535-61546. https://doi.org/10.1109/ACCESS.2018.2876336