Fuzzy Logic Controller Design for Smart Watering System of Rose Cultivation

Samsul Arifin; Fransiska Sisilia Mukti; Aynan Salsabilah Aziz

doi:10.18860/mat.v15i2.23876

Fuzzy Logic Controller Design for Smart Watering System of Rose Cultivation

Samsul Arifin, Fransiska Sisilia Mukti, Aynan Salsabilah Aziz

Abstract

The traditional methods of rose cultivation often rely on manual irrigation practices, which may not always be precise or efficient. Additionally, the cost associated with implementing automated irrigation systems has been a limiting factor for many farmers. This research addresses these challenges by exploring the integration of Fuzzy Logic Controller (FLC) technology and low-cost electronic devices to develop an automated irrigation system tailored for rose cultivation, aiming to enhance precision and accessibility in agricultural practices. The study demonstrates the effectiveness of this approach in optimizing watering practices, showcasing a notable level of accuracy in providing irrigation recommendations. Moreover, the implementation of low-cost electronic devices enhances the accessibility and feasibility of such smart irrigation systems. The research lays a foundation for advancements in precision agriculture, particularly in the domain of rose cultivation, with potential implications for broader agricultural practices.

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References

[1] Badan Pusat Statistik Indonesia, “Produksi Tanaman Florikultura (Hias).” Accessed: Aug. 11, 2023. [Online]. Available: https://www.bps.go.id/indicator/55/64/1/produksi-tanaman-florikultura-hias-.html

[2] Sumiyati, B. Madrini, and N. N. Sulastri, “Pengaruh Sistem Irigasi pada Budidaya Mawar,” in Prosiding Seminar Nasional PERTETA , 2012, pp. 509–511. [Online]. Available: http://www.fao.org/

[3] M. U. Harun Al Rasyid, A. Syauqi Ahsan, and M. F. Najaa, “Fuzzy Logic for Automatic Watering System of Smart Agriculture with IoT,” in International Conference on Applied Science and Technology (iCAST), Institute of Electrical and Electronics Engineers (IEEE), Oct. 2021, pp. 1–7. doi: 10.1109/icast51016.2020.9557707.

[4] R. Urbieta Parrazales, M. T. Zagaceta Álvarez, K. A. Aguilar Cruz, R. Palma Orozco, and J. L. Fernández Muñoz, “Implementation of a fuzzy logic controller for the irrigation of rose cultivation in mexico,” Agriculture (Switzerland), vol. 11, no. 7, pp. 1–12, Jul. 2021, doi: 10.3390/agriculture11070576.

[5] E. Maya Olalla, A. Lopez Flores, M. Zambrano, M. Domínguez Limaico, H. Diaz Iza, and C. Vasquez Ayala, “Fuzzy Control Application to an Irrigation System of Hydroponic Crops under Greenhouse: Case Cultivation of Strawberries (Fragaria Vesca),” Sensors, vol. 23, no. 8, Apr. 2023, doi: 10.3390/s23084088.

[6] S. R. Ma’Mun, A. Loch, and M. D. Young, “Robust irrigation system institutions: A global comparison,” Global Environmental Change, vol. 64, Sep. 2020, doi: 10.1016/j.gloenvcha.2020.102128.

[7] L. M. Silalahi, D. Jatikusumo, S. Budiyanto, F. A. Silaban, I. U. V. Simanjuntak, and A. D. Rochendi, “Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice,” International Journal of Electrical and Computer Engineering, vol. 12, no. 6, pp. 6022–6033, Dec. 2022, doi: 10.11591/ijece.v12i6.pp6022-6033.

[8] T. A. Roshinta and M. Masbahah, “Self-Isolation Monitoring of COVID-19 Patients Using Fuzzy Inference System-Tsukamoto,” SINTECH (Science and Information Technology) Journal, vol. 5, no. 2, pp. 173–180, Oct. 2022, doi: 10.31598/sintechjournal.v5i2.1114.

[9] R. S. Krishnan et al., “Fuzzy Logic based Smart Irrigation System using Internet of Things,” J Clean Prod, vol. 252, Apr. 2020, doi: 10.1016/j.jclepro.2019.119902.

[10] N. Puspitasari, A. Prafanto, A. Ansyori, M. Wati, and A. Septiarini, “Fuzzy Tsukamoto untuk Memprediksi Estimasi Persediaan Darah,” Journal MIND Journal | ISSN, vol. 7, pp. 188–203, 2022, doi: 10.26760/mindjournal.v7i2.188-203.

[11] B. Mohammed, H. Bekkay, A. Migan-Dubois, M. Adel, and A. Rabhi, “An Intelligent Irrigation System based on Fuzzy Logic Control: A Case Study for Moroccan Oriental Climate Region,” in International COnference o Embedded Systems and Artificial Intelligence, 2021, pp. 1–12. [Online]. Available: https://hal.science/hal-03312289

DOI: https://doi.org/10.18860/mat.v15i2.23876

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