Applied of Analytical Hierarchy Process and Fuzzy Time Series in Hybrid for Optimizing Smart Vertical Farming with Multi-Variety Plants

(1) Danang Arengga Wibowo Mail (Universitas Negeri Malang, Indonesia)
(2) * Siti Sendari Mail (Universitas Negeri Malang, Indonesia)
(3) Aji Prasetya Wibawa Mail (Universitas Negeri Malang, Indonesia)
(4) Fauzy Satrio Wibowo Mail (National Taipei University of Technology, Taiwan, Province of China)
*corresponding author

Abstract


Vertical Farming is a kind of modern agricultural methods, where the structure of growing racks are arranged upwards. This method aims to optimize the use of agricultural space. There are many plants, which are suitable to be planted for vertical farming, such as Strawberry, Tomatoes, Celery, Chili, Mint, Chives, Kuchay, Spinach, and Water spinach. The problem, which is studied in this paper, is how to control the environments of vertical farming with multi-variety plants. This paper proposed a hybrid method of Analytical Hierarchy Process and Fuzzy Time Series AHP-FTS, that is, plants with similar characteristics are placed at the same block area determined by the method of Analytical Hierarchy Process (AHP). Furthermore, controlling the environments regarding the needs of appropriate growing parameters for multi-variety plants, the Fuzzy Time Series (FTS) method is used. Then, time variable for activating actuators could be adjusted as a multi-control system. The effectiveness of the proposed method was evaluated with 365 record data in 12 months. The result shows that the AHP was successful to determine the multi-criteria to determine the zone and priority of plants. The second stage is that the FTS predicts the temperature to determine time variable for activating actuators, and the third stage is the implemented AHP-FTS as a hybrid system to evaluate the vertical Farming system. The results show that the proposed system works well as hybrid system of AHP-FTS

Keywords


Smart Vertical Farming, Fuzzy Time Series, Analytical Hierarchy Process, Multi-Varieties Plants

   

DOI

https://doi.org/10.29099/ijair.v7i1.402
      

Article metrics

10.29099/ijair.v7i1.402 Abstract views : 1276 | PDF views : 0

   

Cite

   

Full Text

Download

References


S. Khan, A. Purohit, and N. Vadsaria, “Hydroponics: current and future state of the art in farming,†J. Plant Nutr., vol. 44, no. 10, pp. 1515–1538, 2021.

R. Junge;, B. Konig;, M. Villarroel;, T. Komives;, and M. H. Jijakli;, “Strategic Points in Aquaponics.: Discovery @ Tarleton Libraries,†Water, vol. 9, 2017.

R. K. Reena Kumari, “Aeroponics: A Review on Modern Agriculture Technology,†Indian Farmer, Chapter, vol. 6, no. 4, pp. 286–292, 2019.

M. Salim Mir et al., “Vertical farming: The future of agriculture: A review,†~ 1175 ~ Pharma Innov. J., no. 2, pp. 1175–1195, 2022.

D. Despommier, “Vertical farms, building a viable indoor farming model for cities,†F. Actions Sci. Rep., vol. 2011, no. Special Issue 20, pp. 68–73, 2011.

D. D. Ellingsen Eric, “The Vertical Farm - The origin of a 21,†CTBUH Res. Pap., no. III, 2008.

M. Al-Chalabi, “Vertical farming: Skyscraper sustainability?,†Sustain. Cities Soc., vol. 18, pp. 74–77, Nov. 2015.

O. Brendel, “The relationship between plant growth and water consumption : a history from the classical four elements to modern stable isotopes,†2021.

Y. Tanigaki and H. Fukuda, “Chapter 2.4 - Control Theory in the Metabolic Rhythms of Plants,†in Plant Factory Using Artificial Light, M. Anpo, H. Fukuda, and T. Wada, Eds. Elsevier, 2019, pp. 89–98.

J. Hartung, J. Wagener, R. Ruser, and H. P. Piepho, “Blocking and re-arrangement of pots in greenhouse experiments: which approach is more effective?,†Plant Methods, vol. 15, no. 1, pp. 1–11, 2019.

H. Akıncı, A. Y. Özalp, and B. Turgut, “Agricultural land use suitability analysis using GIS and AHP technique,†Computers and electronics in agriculture, vol. v. 97. Elsevier B.V., 2013.

N. Khammayom, N. Maruyama, and C. Chaichana, “The Effect of Climatic Parameters on Strawberry Production in a Small Walk-In Greenhouse,†AgriEngineering, vol. 4, no. 1, pp. 104–121, 2022.

E. Bas, U. Yolcu, and E. Egrioglu, “Intuitionistic fuzzy time series functions approach for time series forecasting,†Granul. Comput., vol. 6, no. 3, pp. 619–629, 2021.

B. Oancea, R. Pospíšil, M. N. Jula, and C. I. Imbrișcă, “Experiments with fuzzy methods for forecasting time series as alternatives to classical methods,†Mathematics, vol. 9, no. 19, pp. 1–17, 2021.

H. Che-Ngoc, T. Vo-Van, Q. C. Huynh-Le, V. Ho, T. Nguyen-Trang, and M. T. Chu-Thi, “An improved fuzzy time series forecasting model,†Stud. Comput. Intell., vol. 760, no. March, pp. 474–490, 2018.

J. Doshi, T. Patel, and S. K. Bharti, “Smart Fanning using IoT, a solution for optimally monitoring fanning conditions,†Procedia Comput. Sci., vol. 160, pp. 746–751, 2019.

T. Babalola;, M. Olokun;, and A. Babalola;, “Development of an ESP-32 Microcontroller Based Weather Reporting Device Development of an ESP-32 Microcontroller Based Weather Reporting Device,†J. Eng. Res. Rep., vol. 11, no. July, pp. 28–38, 2022.

T. Altunok, Ö. Özpeynirci, Y. Kazançoǧlu, and R. Yilmaz, “Comparative analysis of multi-criteria decision making methods for postgraduate student selection,†Egit. Arastirmalari - Eurasian J. Educ. Res., no. 40, pp. 1–15, 2010.

C. González García, E. Núñez-Valdez, V. García-Díaz, C. Pelayo G-Bustelo, and J. M. Cueva-Lovelle, “A Review of Artificial Intelligence in the Internet of Things,†Int. J. Interact. Multimed. Artif. Intell., vol. 5, no. 4, p. 9, 2019.

V. Nagori and B. Trivedi, “Types of Expert System: Comparative Study,†Asian J. Comput. Inf. Syst., vol. 02, no. 02, pp. 2321–5658, 2014.

Y. Alyousifi, M. Othman, A. Husin, and U. Rathnayake, “A new hybrid fuzzy time series model with an application to predict PM10 concentration,†Ecotoxicol. Environ. Saf., vol. 227, p. 112875, 2021.

Arnita, N. Afnisah, and F. Marpaung, “A Comparison of the Fuzzy Time Series Methods of Chen, Cheng and Markov Chain in Predicting Rainfall in Medan,†J. Phys. Conf. Ser., vol. 1462, no. 1, 2020.

A. Gozuoglu and O. Ozgonenel, “Fuzzy Logic Based Smart Home Automation and Forecasting Electric Energy Consumption,†vol. 9, no. 4, pp. 365–370, 2021.

S. Susanto;, B. Hartanti;, and N. Khumaida;, “The Fruit Production and Quality of StrawberryUnder Several Irrigation System,†J.Hort. Indones., vol. 1, no. 1, 2010.

L. Meltia, “Budidaya Tanaman Bwang Daun di Kebun Benih Hortikultura Tawangmangu,†2009.

S. Lidar and I. Purnama, “Growth of Celery in the red-yellow Podziloc soils as inoculated by Eaarthworms Pontoscolex Corethrurus,†J. Ilm. Pertan., vol. 17, no. 2, pp. 67–73, 2021.

“Indonesian Center for Horticulture Research development.†[Online]. Available: http://hortikultura.litbang.pertanian.go.id/teknologi-detail-42.html. [Accessed: 01-Sep-2022].




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

________________________________________________________

The International Journal of Artificial Intelligence Research

Organized by: Departemen Teknik Informatika
Published by: STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung

Email: jurnal.ijair@gmail.com

View IJAIR Statcounter

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