Abstract
Increasing population in the world drives people to find a different type of feeding regime. Even if there is an immense augmentation in crowd brilliant innovators are looking for new ways of farming more efficiently. Hydroponics is one of the novel paths that is a planting system without soil. The system reduces water usage by 95% and with the same rate provides efficiency in the crop, furthermore, sustainability is highly supplied. Traditional smart farming applied in the rural area strains immense transportation and brokership costs. In these days innovators make smart agriculture in vessel containers. Especially vertical and smart farming made in the suburban area of the cities offers new opportunities on vegetables’ abundance. In this paper, the efficiency of this offered system is examined with minimizing the investment cost data. The system itself and the investment area have abounded with myriad uncertainties. Fuzzy logic tackles with those vaguenesses and fuzzy evaluation based on distance from average solution (EDAS) method supplies assistance in the decision-making process of system evaluation. A micro-based application is performed and attractive results are achieved.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ecer, F.: Third-party logistics (3PLs) provider selection via fuzzy AHP and EDAS integrated model. Technol. Econ. Dev. Econ. 24(2), 615–634 (2018)
Ghorabaee, M.K., Zavadskas, E.K., Amiri, M., Turskis, Z.: Extended EDAS method for fuzzy multi-criteria decision-making: an application to supplier selection. Int. J. Comput. Commun. Control 11(3), 358–371 (2016)
Ghorabaee, M.K., Zavadskas, E.K., Olfat, L., Turskis, Z.: Multi-criteria inventory classification using a new method of evaluation based on distance from average solution-EDAS. Informatica 26(3), 435–451 (2015)
Ghorabaee, M.K., Amiri, M., Zavadskas, E.K., Turskis, Z., Antucheviciene, J.: A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Comput. Ind. Eng. 112, 156–174 (2017)
Huh, J.H.: Implementation of lightweight intrusion detection model for security of smart green house and vertical farm. Int. J. Distrib. Sensor Netw. 14(4) (2018). 1550147718767630
Morimoto, T., Hashimoto, Y., Fukuyama, T.: Identification and control of hydroponic system in greenhouses. IFAC Proc. 18(5), 1689–1693 (1985)
Schrevens, E., Cornell, J.: Design and analysis of mixture systems: applications in hydroponic, plant nutrition research. In: Optimization of Plant Nutrition, pp. 179–186. Springer (1993)
Xin, J., Zazueta, F.: Technology trends in ICT-towards data-driven, farmer-centered and knowledge-based hybrid cloud architectures for smart farming. Agric. Eng. Int. CIGR J. 18(4), 275–279 (2016)
Yuan, C., Shan, R., Adelia, A.S., Tablada, A., Lau, S.K., Lau, S.S.Y.: Effects of vertical farming on natural ventilation of residential buildings. Energy Buildings 185, 316–325 (2019)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Zhang, H., Asutosh, A., Hu, W.: Implementing vertical farming at university scale to promote sustainable communities: a feasibility analysis. Sustainability 10(12), 4429 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Tolga, A.C., Gamsiz, B., Basar, M. (2020). Evaluation of Hydroponic System in Vertical Farming via Fuzzy EDAS Method. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_89
Download citation
DOI: https://doi.org/10.1007/978-3-030-23756-1_89
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23755-4
Online ISBN: 978-3-030-23756-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)