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Design and Implementation of An Automatic Nutrient Solution Control System  

Jeong Won-Geun (경상대학교 공학연구원 자동화 컴퓨터 연구센터)
Lee Byeong-Ro (진주산업대학교 전자공학과)
Kim Byungcheul (진주산업대학교 전자공학과)
Abstract
In this study, an nutrient solution control system have been designed and implemented, which controls the density of nutrient and the nutrient supply automatically using embedded real time operating system and fuzzy control algorithm. The factors which affect the growth of crop consist of solar radiation, external temperature, and external humidity. Also, nutrient temperature, electric conductivity(ED, and pH are monitored. According to the surveyed results, a fuzzy control algorithm for nutrient control is developed in order to control the density of nutrient and the nutrient supply. The exclusive embedded controller which consists of an embedded real time operating system, a korean LCD, and a graphic is developed for common users.
Keywords
Nutrient; RTOS; Fuzzy; Embedded System;
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  • Reference
1 Adams, F., 'Ionic concentration and activities in soil solutions', Soil Sci. Soc. Amer. Proc. 35, pp. 420-426, 1977
2 채석, 오영석, 퍼지이론과 제어, 청문각, pp. 207-290, 1995
3 Hirahuji, M., 'A plant growth model based on interference between organs and the method of identification', J. Agr. Met. 48. pp. 285-293, 1992   DOI
4 Takadura, T., G. Shono and T. Honjo, 'Application of knowledge engineering to crop cultivation consultation system for the management of tomato crops in greenhouse', J. Agr. Met. 39, pp. 113-116, 1983   DOI
5 Son, J. E. and T. Okuya, 'Prediction of electrical conductivity of nutrient solution in hydroponics. J. Agr. Met. 47, pp. 159-163, 1991   DOI
6 Jones, J. B. Jr., A guide for the hydroponic and soilless culture grower, Timber press, 1983
7 Morimoto, T. and Y. Hashimoto, 'Application of fuzzy logic and neural networks to the process control of solution pH in deep hydroponic culture', Proc. IFAC/ISHS workshop on mathematical and control application in agriculture and horticulture, pp147-152, 1991
8 Jones, P. and J. Haldeman, 'Management of a crop research facility with a microcomputer-based expert system', Trans. ASAE. 29, pp. 235-245, 1986   DOI