Fertigation is becoming increasingly popular among farmers as it ensures consistent and adequate nutrition for each plant. Typically, type A and B fertilizers are mixed manually to achieve the desired EC value, which requires considerable effort from the farmer. In addition, the EC value of the fertilizer mixture varies based on the plant type and growth rate. This is what makes an automatic fertilizer mixing system highly desirable. This project aims to develop an integrated automatic fertilizer mixing system using IoT. The system uses a smart Wi-Fi device connected to a Home Assistant platform for real-time monitoring and control of the EC value in the fertilizer tank. Fertilizer mixing is managed by a dosing pump that precisely delivers fertilizer into the main tank. This system reduces the farmer’s workload and minimizes the need for manual labor in fertigation management. Test results show that the water quality sensor and EC meter readings are closely aligned, and the system performs well across multiple test locations.
Cite this paper
Mahfurdz, A. , Ludin, Z. K. and Ahmad, S. C. (2025). Fertilizer Mixing Device for Fertigation System Integrated with Home Assistant Platform. Open Access Library Journal, 12, e2917. doi: http://dx.doi.org/10.4236/oalib.1112917.
Pibars, S.K., Gaballah, M.S., Mansour, H.A. and Khalil, S.E. (2022) Management of Fertigation and Its Effects on Irrigation Systems Per-formance and Crop Yield. International Journal of Mechanical Engineering, 7, 882-896.
Patel, N. and Rajput, T.B.S. (2020) Fertigation in Modern Agricul-ture: An Overview of Benefits and Challenges. Agricultural Water Management, 241, Article 106398.
Tarasyants, S.A., Rudakov, V.A., Urzhumova, Y.S. and Degtiareva, K.A. (2021) The Calculation Basis for a Four-Component Jet Mixer for Fertilizer and Water. E3S Web of Conferences, 262, 01035. https://doi.org/10.1051/e3sconf/202126201035
Wang, H., Zhang, L., Hu, X., Wang, H. and Zhang, X. (2023) Research on Water and Fertilizer PH Control Strategy of Automatic Fertilizer Application System in Cotton Field. Pre-prints. https://doi.org/10.21203/rs.3.rs-2878782/v1
Sun, G., Li, X., Wang, X., Li, Y., Chen, M., Zhang, Y., et al. (2015) Design and Testing of a Nu-trient Mixing Machine for Greenhouse Fertigation. Engineering in Agriculture, Environment and Food, 8, 114-121. https://doi.org/10.1016/j.eaef.2014.12.001
Ramli, R.M., Mohamed, M. and Abdullah, N.R. (2022) Smart Fertilizer Mixer System for Fertigation. 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Melaka, 26-28 September 2022, 205-210. https://doi.org/10.1109/icsima55652.2022.9928966
Hadi Ishak, A., Hajjaj, S.S.H., Rao Gsangaya, K., Thariq Hameed Sultan, M., Fazly Mail, M. and Seng Hua, L. (2023) Autonomous Fertilizer Mixer through the Internet of Things (IoT). Materials Today: Proceedings, 81, 295-301. https://doi.org/10.1016/j.matpr.2021.03.194
