Fuzzy Logic dalam Pengontrolan Nilai Intensitas Cahaya LED pada Mini Plant Factory Budidaya Tanaman Pak Choy (Brassica Chinensis L.) Hidroponik

Choirul Umam, Fahmi Arief Rahman, Mohammad Syafii, Nurul Hidayat

Abstract

Ideally, the Pak Choy plant (Brassica Chinensis L) is cultivated with microenvironmental conditions of temperature 150C- 320C, humidity 60% - 80% and the same intensity of sunlight as other vegetable plants, namely in a vegetative vase of 300-400 micromols/m2/second and a period of generative 500-1000 micromols/m2/sec . The challenge of agriculture today is to meet the increasing need for food with limited land and uncertain plant microenvironmental conditions, one solution to this problem is planting using a plant factory system. Fuzzy logic has an effective method for controlling plant factory control systems, due to its flexibility and simple calculations. The purpose of this research is to find the PWM value in the plant factory control system that suits the optimal needs of pak choy vegetable cultivation. There are 4 stages in the research, namely the primary data input of the LED plant factory, Fuzzyfication, Fuzzy Interface System and Defuzzification. Data was taken using a lux meter and there were a total of 56 fuzzy rules and 4 fuzzy rules that did not have a value of 0. The lighting level/light intensity control system based on fuzzy logic was obtained with a PWM (Pulse Width Modulation) value of 872.1662 for a light intensity set point of 8000 Lux.

Keywords

micro-environment, Lux, otomatization, hidrophonic

References

Ali, R.B., Bouadila, S., and Mami, A. (2018). Development of Fuzzy Logic Controller applied to an agricultural greenhouse experimentally validated. Journal Applied Thermal Engineering, Volume 141, August (2018), pages 798-810, doi.org/10/1016/j.applthermaleng.2018.06.014

Ambarish, G. M., and Saroj, K. L. 2016. Neural Network Pattern Classification and Weather Dependent Fuzzy Logic Model for Irrigation Control in WSN Based Precision Agriculture. Procedia Computer Science 78 ( 2016 ) 499 – 506

Anpo, M., Fukuda, H., Wada, T. (2019). Ruang Semi Plant-Factory Using Artificial Light. ISBN: 978-0-12- 813973-8, Elsevier Book Inc

Biswas, S., Deka, B., Dash, S., and Rout, K. (2022). IoT based fuzzy logic-controlled novel and multilingual mobile application for hidroponic farming. Journal AI, Edge and IoT-base Smart Agriculture, Intelligent Data-Centric Systems (2022); pages 31-42, doi.org/10.1016/B978-0-12- 823694-9.00027-X

Gardner, F. P., Pearce, R. B., and Mitchell, R. L. (1991). Fisiologi Tanaman Budidaya. Terjemahan oleh

Herawati Susilo , Jakarta: Universitas Indonesia (UI-Press), 2008

Graamans, L., Baeza, E., Dobblelsteen, A. V. D., Tsafaras, I., Stanghellini, C. (2018). Plant Factories Versus Greenhouse: Comparison of Resources Use Efficiency. ELSEVIER Journal Agricultral Systems 160 (2018) 31-43

Honorato, C, P. 2022. Simulation of temperature control and irrigation time in the production of tulips using Fuzzy logic. Procedia Computer Science 200 (2022) 1–12

Kozai, T., 2013. Sustainable plant factory: closed plant production system with artificial light for high resource use efficiencies and quality produce. Acta Hortic 1004, 27e40.

Kozai, T., 2013a. Resource use efficiency of closed plant production system with artificial light: concept, estimation and application to plant factory. Proc. Japan Acad. Ser. B 89, 447e461.

Kozai, T., 2013b. Plant factory in Japan: current situation and perspectives. Chron. Hortic. 53 (2), 8e11.

Kozai, T., Fujiwara, K., Runkle, E. (Eds.), 2016. LED Lighting for Urban Horticulture. Springer, p. 454.

Kozai, T. (Ed.), 2018. Smart Plant Factory: The Next Generation Indoor Vertical Farms. Springer, 456 pages.

Kozai, T., Uraisami, K., Kai, K., Hayashi E., 2019. Some thoughts on productivity indexes of plant factory with artificial lighting (PFAL). Proceedings of International symposium on environment controltechnology for value-added plant production, Aug. 28e30. Beijing, China, 29 pages.

Li, M., Kozai, T., Ohyama, K., Shimamura, D., Gonda, K., Sekiyama, T., 2012. CO2 balance of a commercial closed system with artificial lighting for producing lettuce plants. HortScience 47 (9), 1257e1260

Liu, J., Zhang, W., Chu, X., and Liu, Y. (2016). Fuzzy logic controller for energy savings in a smart LED lighting system considering lighting system considering lighting comfort and daylight. Journal Energy and Buildings Vlume 127, 1 September 2016, pages 95-104, doi.org/10.1016/j.enbuild.2016.05.066

Mickensa, M.A., Torralbaa, M., Robinsona, Spencerb, L.E., Romeyna, M.W., Massaa, G.D., Wheelera, R.M. (2019). Growth Of Red Pak Choi Under Red And Blue, Supplemented White, And Artificial Sunlight Provided by LEDs. ELSEVIER Journal Scientia Holtikulturae 245 (2019) 200-209

L.A. Zadeh. (1965). Fuzzy Sets. Prosiding Information and Control Vol. 8, Issue 3 June 1965, pg. 338-353

Madsen, S. L., Dyrmann, M., Jorgensen, R.N., and Karstoff, H. (2019). Generating artificial images of plant seedlings using generative adversarial networks. BIOSYSTEMS ENGINEERING 187 (2019) 147-159, doi.org/10.1016/j.biosystemseng.2019.09.005

Nalwanga, Rosemary., and Belay, Ayalew. 2022. Fuzzy Logic based Vegetable Price prediction in IoT. Procedia Computer Science 203 (2022) 807-812, doi.org/10.1016/j.procs.2022.07.121

Nassiri, S.M., Tahavoor, A., and Jafari, A. (2021). Fuzzy logic classification of mature tomatoes based on physical properties fusion. Journal Information Processing in Agriculture, doi.org/10/1016/j.inpa.2021.09.001

Pacco, H, C. (2022). Simulation of temperature control and irrigation time in the production of tulips using Fuzzy logic. Procedia Computer Science 200 (2022) 1-12, doi.org/j.procs.2022.01.199

Phan, D.C., Bui, N. G., Vo, T. H., Park, S., Choi, J., Mondal, S., Kim, B. G., and Oh, J. (2020). Development of LED light therapy device with power density control using a Fuzzy logic controller. Journal Medical Engineering & Physics, Volume 86, pages 71-77, doi.org/10.1016/j.medengphy.2020.09.008

R. Santhana Krishnan, E. Golden Julie, Y. Harold Robinson, S. Raja, Raghvendra Kumar, Pham Huy Thong, Le Hoang Son. (2019). Fuzzy Logic based Smart Irrigation System using Internet of Things, Journal of Cleaner Production, doi.org/10.1016/j.jclepro.2019.119902

Rim, B. A., Salwa, B., and Abdelkader, M. 2018. Development of a Fuzzy Logic Controller applied to an agricultural greenhouse experimentally validated. Applied Thermal Engineering 141 (2018) 798–810

Rosemary, N., and Ayalew, B. 2022. Fuzzy Logic based Vegetable Price prediction in IoT. Procedia Computer Science 203 (2022) 807–812

S. Revathi, and N. Sivakumaran. (2016). Fuzzy Based Temperature Control of Greenhouse. IFAC-PapersOnLine 49- 1 (2016) 549-554, doi.org/10.1016/j.ifacol.2016.03.112

Suganthi, L., Iniyan, S., and Samuel, Anand, A. (2015). Applications of fuzzy logic in renewable energy systems- A review. Journal Renewable and Sustainable Energy, Reviews 48 (2015) 585-607

T. J. Ross. (2010). Fuzzy Logic With Engineering Applications. 3th Edition. A John Wiley and Sons, Ltd, Publication

Takagaki, M., Hara, H., Kozai, T. 2014. Indoor Horticulture Using Micro-plant Factory for Improving Quality of Life in Urban Areas e Design and a Social Experiment Approach. IHC 2014, Abstract Book

Tian, Z., Ma, W., Yang, Q., and Duan, F. (2022). Application status and challenges of machine vision in plant factory. Journal Information Processing in Agriculture, Volume 9, Issue 2, June 2022, Pages 195-211, doi.org/10.1016/j.inpa.2021.06.003

UN, 2017. Planning Sustainable Cities: Global Report on Human Settlements. UN-Habitat, United Nations, Nairobi

Verdouw. C, Tekinerdogan. B, Beulens. A, and Wolfert. S. (2021). Digital twins in smart farming. Agricultural Systems 189 (2021) 103046, doi.org/10.1016/j.agsy.2020.103046

Xu, Y., Chang, Y., Chen, G., Lin, H. (2016). The Research on LED Supplementary Lightning System for Plants. ELSEVIER Journal Optik 127 (2016) 7193-7201

Xu, H., Fu, Y., Li, T., Wang, R. (2017). Effects Of Different LED Light Wavelengths on the Resistance Of Tomato Against Botrytis Cinerea and The Corresponding Physiological Mechanisms. . ELSEVIER Journal of Integrative Agriculture 2017, 16(1): 106–114

DOI

https://doi.org/10.21107/rekayasa.v16i2.15347

Metrics

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Choirul Umam

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.