Precision Fertigation Control System Based on Fuzzy Logic for Hydroponic Plant Cultivation
Authors
Haryo Prastono , Mohamad Solahudin , Supriyanto SupriyantoDOI:
10.29303/jrpb.v12i2.639Published:
2024-09-29Issue:
Vol. 12 No. 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan BiosistemKeywords:
control system, fertigation, fuzzy logic, hydroponicArticles
Downloads
How to Cite
Downloads
Abstract
The fertigation control system has been extensively developed, particularly for hydroponic plant cultivation. However, existing studies often overlook the characteristics of the interaction between the environment and plants. Evapotranspiration and the moisture status of the growing medium are two critical parameters in determining the volume of fertigation. As a control system, fuzzy logic can manage fertigation based on these two parameters. This study aims to deliver water and nutrients to plants more effectively and efficiently, aligning with current environmental conditions and plant needs. The research was conducted through several stages: defining design criteria, creating a fuzzy logic design, simulating the fuzzy logic-based fertigation control system, and testing the system. Simulation results indicate that when the moisture content of the growing medium is between 26% and 31%, the fertigation duration varies according to evapotranspiration values. When the moisture content exceeds 32%, fertigation does not occur regardless of evapotranspiration values. Testing results demonstrate that the fuzzy logic used in this control system is efficient in delivering fertigation, as evidenced by minimal runoff compared to systems without control. Additionally, the moisture status of the growing medium consistently remains within the available water zone or at the optimum condition for plant water absorption, with a mean absolute percentage error of 1.98%. The designed fuzzy logic control system is also effective in providing fertigation, with the total volume ranging from 132 to 308.4 ml/day, closely matching the daily evapotranspiration rate. Based on plant physiological measurements, the fuzzy logic control system outperforms fertigation without control.
References
Abioye, E. A., Abidin, M. S. Z., Mahmud, M. S. A., Buyamin, S., Ishak, M. H. I., Rahman, M. K. I. A., Otuoze, A. O., Onotu, P., & Ramli, M. S. A. (2020). A Review on Monitoring and Advanced Control Strategies for Precision Irrigation. Computers and Electronics in Agriculture, 173. https://doi.org/10.1016/j.compag.2020.105441 DOI: https://doi.org/10.1016/j.compag.2020.105441
Alamouti, M. Y., Khafajeh, H., Javadi, A., & Dehghanisanij, H. (2023). Design a solar system for fuzzy control of intelligent irrigation system. Agricultural Engineering International: CIGR Journal, 25(1), 14–26. http://www.cigrjournal.org
Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration (guidelines for computing crop water requirements). https://www.fao.org/3/x0490e/x0490e00.htm
Amalia, R., Waspodo, R. S. B., & Setiawan, B. I. (2020). The Design of Evaporative Irrigation System for Pepper Plants. Jurnal Irigasi, 15(1), 45–54. https://doi.org/10.31028/ji.v15.i1.45-54 DOI: https://doi.org/10.31028/ji.v15.i1.45-54
Andani, R., Rahmawati, M., & Hayati, M. (2020). Pertumbuhan dan Hasil Tanaman Cabai (Capsicum annuum L.) Akibat Perbedaan Jenis Media Tanam dan Varietas Secara Hidroponik Substrat. Jurnal Ilmiah Mahasiswa Pertanian, 5(2), 1–10. DOI: https://doi.org/10.17969/jimfp.v5i2.14764
Ariani, F., & Endra, R. Y. (2013). IMPLEMENTATION OF FUZZY INFERENCE SYSTEM WITH TSUKAMOTO METHOD FOR STUDY PROGRAMME SELECTION. 2nd International Conference on Engineering and Technology Development, 189–200.
Aulia, A., Wardani, I. K., & Ichniarsyah, A. N. (2022). Calculation of Actual Evapotranspiration (ETc) of Melon Plants on Vegetative Phase in the Greenhouse. Jurnal Keteknikan Pertanian Tropis Dan Biosistem, 10(3), 170–180. https://doi.org/10.21776/ub.jkptb.2022.010.03.01 DOI: https://doi.org/10.21776/ub.jkptb.2021.010.03.01
Chen, R., Kang, S., Hao, X., Li, F., Du, T., Qiu, R., & Chen, J. (2015). Variations in tomato yield and quality in relation to soil properties and evapotranspiration under greenhouse condition. Scientia Horticulturae, 197, 318–328. https://doi.org/10.1016/J.SCIENTA.2015.09.047 DOI: https://doi.org/10.1016/j.scienta.2015.09.047
Hermawan, W., & Yanuar, R. K. (2023). Design and Performance of an Automatic Laying Hen Feeding Machines in Cage-Type Cage. Jurnal Keteknikan Pertanian, 11(3), 358–374. https://doi.org/10.19028/jtep.011.3.358-374 DOI: https://doi.org/10.19028/jtep.011.3.358-374
Jaiswal, S., & Ballal, M. S. (2020). Fuzzy Inference Based Irrigation Controller for Agricultural Demand Side Management. Computers and Electronics in Agriculture, 175. https://doi.org/10.1016/j.compag.2020.105537 DOI: https://doi.org/10.1016/j.compag.2020.105537
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020). Fuzzy Logic based Smart Irrigation System using Internet of Things. Journal of Cleaner Production, 252. https://doi.org/10.1016/j.jclepro.2019.119902 DOI: https://doi.org/10.1016/j.jclepro.2019.119902
Kusmali, Muh., Munir, A., & Faridah, S. N. (2015). Aplikasi Irigasi Tetes Pada Tanaman Cabe Merah di Kabupaten Enrekang. Jurnal AgriTechno, 8(2), 140–148.
Mahjoor, F., Ghaemi, A. A., & Golabi, M. H. (2016). Interaction Effects of Water Salinity and Hydroponic Growth Medium on Eggplant Yield, Water-use Efficiency, and Evapotranspiration. International Soil and Water Conservation Research, 4(2), 99–107. https://doi.org/10.1016/j.iswcr.2016.04.001 DOI: https://doi.org/10.1016/j.iswcr.2016.04.001
Moreshet, S., Yao, C., Aloni, B., Karni, L., Fuchs, M., & Stanghellini, C. (1999). Environmental factors affecting the cracking of greenhouse-grown bell pepper fruit. The Journal of Horticultural Science and Biotechnology, 74(1), 6–12. https://doi.org/10.1080/14620316.1999.11511063 DOI: https://doi.org/10.1080/14620316.1999.11511063
Navinkumar, T. M., Kumar, R. R., & Gokila, P. V. (2021). Application of Artificial Intelligence Techniques in Irrigation and Crop Health Management for Crop Yield Enhancement. Materials Today: Proceedings, 45, 2248–2253. https://doi.org/10.1016/j.matpr.2020.10.227 DOI: https://doi.org/10.1016/j.matpr.2020.10.227
Nugroho, C. A., & Setiawan, A. W. (2022). Pengaruh Frekuensi Penyiraman dan Volume Air Terhadap Pertumbuhan Sawi Pakcoy Pada Media Tanam Campuran Arang Sekam dan Pupuk Kandang. Agrium, 25(1), 12–23. https://doi.org/10.30596/agrium.v25i1.8471
Nurlina, Swardji, & Kusnarta, I. (2023). Effect of Plant Media (Cocopeat and Vermicompos) on the Growth and Years of Porang (Amorhophallus muelleri) in Lombok Utara District. Journal of Soil Quality and Management. http://eprints.unram.ac.id/34790/2/JURNAL%20Nurlina_C1B018033.pdf
Pezol, N. S., Adnan, R., & Tajjudin, M. (2020). Design of an Internet of Things (Iot) Based Smart Irrigation and Fertilization System Using Fuzzy Logic for Chili Plant. 2020 IEEE International Conference on Automatic Control and Intelligent Systems, 69–73. https://doi.org/https://doi.org/10.1109/I2CACIS49202.2020.9140199 DOI: https://doi.org/10.1109/I2CACIS49202.2020.9140199
Prastono, H. (2023). Sistem Kendali Fertigasi untuk Budidaya Tanaman Secara Hidroponik Dalam Rumah Tanaman [IPB University]. https://repository.ipb.ac.id/handle/123456789/133652
Prastono, H., Solahudin, M., & Supriyanto. (2023). Evaluation of Nutrient Dosing Methods for Hydroponic Crop Cultivation. Jurnal Keteknikan Pertanian, 11(3), 279–293. https://doi.org/10.19028/jtep.011.3.279-293 DOI: https://doi.org/10.19028/jtep.011.3.279-293
Radhika, C., & Parvathi, R. (2016). Intuitionistic fuzzification functions. Global Journal of Pure and Applied Mathematics, 12(2), 1211–1227. http://www.ripublication.com/gjpam.htm
Setiowati, S., Wardhani, R. N., Riandini, Agustina Siregar, E. B., Saputra, R., & Sabrina, R. A. (2022). Fertigation Control System on Smart Aeroponics using Sugeno’s Fuzzy Logic Method. Proceedings - 2022 8th International Conference on Science and Technology, ICST 2022. https://doi.org/10.1109/ICST56971.2022.10136304 DOI: https://doi.org/10.1109/ICST56971.2022.10136304
Shafira, W., Akbar, A. A., & Saziati, O. (2021). Penggunaan Cocopeat Sebagai Pengganti Topsoil Dalam Upaya Perbaikan Kualitas Lingkungan di Lahan Pascatambang di Desa Toba, Kabupaten Sanggau. Jurnal Ilmu Lingkungan, 19(2), 432–443. https://doi.org/10.14710/jil.19.2.432-443 DOI: https://doi.org/10.14710/jil.19.2.432-443
Sharma, S., & Obaid, A. J. (2020). Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox. Journal of Interdisciplinary Mathematics, 23(4), 843–849. https://doi.org/10.1080/09720502.2020.1727611 DOI: https://doi.org/10.1080/09720502.2020.1727611
Silalahi, L. M., Jatikusumo, D., Budiyanto, S., Silaban, F. A., Simanjuntak, I. U. V., & Rochendi, A. D. (2022). Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice. International Journal of Electrical and Computer Engineering, 12(6), 6022–6033. https://doi.org/10.11591/ijece.v12i6.pp6022-6033 DOI: https://doi.org/10.11591/ijece.v12i6.pp6022-6033
Sumarni, E., Soesanto, L., Farid, N., & Baroroh, H. N. (2019). Potensi Pertumbuhan Vegetatif Purwoceng Pada Budidaya Menggunakan Irigasi Tetes dan Nutrient Film Technique (NFT) Dalam Rangka Mempertahankan Bahan Baku Obat Khas Daerah. Prosiding Seminar Nasional LPPM Unsoed, 161–169. http://www.jurnal.lppm.unsoed.ac.id/ojs/index.php/Prosiding/article/view/801
Touati, F., Al-Hitmi, M., Benhmed, K., & Tabish, R. (2013). A Fuzzy Logic Based Irrigation System Enhanced with Wireless Data Logging Applied to The State of Qatar. Computers and Electronics in Agriculture, 98, 233–241. https://doi.org/10.1016/j.compag.2013.08.018 DOI: https://doi.org/10.1016/j.compag.2013.08.018
Ummah, I., Yannuansa, N., & Mufarrihah, I. (2021). Pengaruh Penentuan Domain, Fungsi Keanggotaan Dan Rule Dalam Membangun Sistem Fuzzy. Tecnoscienza, 6(1), 165–175. https://ejournal.kahuripan.ac.id/index.php/TECNOSCIENZA/article/download/607/410/1705 DOI: https://doi.org/10.51158/tecnoscienza.v6i1.607
Utami, D. N., Kusumastuti, E., Sudiana, N., Rahayu, B., Hidayat, N., Sulistiawan, I. N., Purnomo, A., Atang, & Sittadewi, E. H. (2023). Characteristics of Water Storage Capacity and Water Storage Efficiency of ‘Biotextile’ Growing Medium for Erosion Resistance. Berkala Ilmiah Biologi, 14(1), 38–47. https://doi.org/10.22146/bib.v14i1.5891 DOI: https://doi.org/10.22146/bib.v14i1.5891
Virga, G., Licata, M., Consentino, B. B., Tuttolomondo, T., Sabatino, L., Leto, C., & La Bella, S. (2020). Agro-morphological characterization of sicilian chili pepper accessions for ornamental purposes. Plants, 9(10), 1–14. https://doi.org/10.3390/plants9101400 DOI: https://doi.org/10.3390/plants9101400
License
Copyright (c) 2024 Haryo Prastono, Mohamad Solahudin, Supriyanto Supriyanto
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 International License (CC-BY-SA License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in Jurnal Ilmiah Rekayasa Pertanian dan Biosistem (JRPB).
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).