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Issue title: Soft Computing Applications
Guest editors: Valentina Emilia Balas
Article type: Research Article
Authors: Victor, Tiţaa | Daniel, Nijloveanua | Popescu, Doru Anastasiub; * | Bold, Nicolaea
Affiliations: [a] Faculty of Management and Rural Development, University of Agricultural Sciences and Veterinary Medicine Bucharest, Slatina Branch, Slatina, Olt County, Romania | [b] Faculty of Sciences, Physics Education and Computer Science, University of Piteşti, Piteşti, Argeş County, Romania
Correspondence: [*] Corresponding author. Doru Anastasiu, Faculty of Sciences, Physics Education and Computer Science, University of Piteşti, 1 Târgul din Vale, 110040, Piteşti, Argeş County, Romania. E-mail: dopopan@gmail.com.
Abstract: In modern agriculture, one of the most influential and debatable problems are related to the water management and soil pollution. The water management issue is obviously connected to the usage of the lowest quantity possible, due to the scarce nature of the water, but is also related to cost reasons and profit maximization. The soil is also considered one of the key resources which must be dealt very rationally, due to its structure and complex processes from its function. In this paper we present a model of soil water management system, comprising the irrigation process, that also takes into account one of the main parameters of an irrigation system: the plastic material used for irrigation. The model optimally choses the best suited material and the optimal water content, also taking into account the geographical area of the soil. The main purpose of building the model is to create an optimization environment for the irrigation systems, with both financial and environmental implications. In this paper, we will present some results of the model of a drip irrigation management system. In this matter, we have used two methods based on genetic algorithms and System Dynamic principles that can achieve desired results for the problem proposed. The results of this paper are shown based on simulations of the System Dynamic model.
Keywords: Optimality, genetic, irrigation, drip, plastic
DOI: 10.3233/JIFS-219271
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 2, pp. 1697-1705, 2022
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