Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach
Punit Khatri et al.
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Drink. Water Eng. Sci., 13, 1–13,2020
Drink. Water Eng. Sci., 11, 19–24,2018
Drink. Water Eng. Sci., 11, 9–17,2018
Drink. Water Eng. Sci., 10, 61–68,2017
Drink. Water Eng. Sci., 9, 37–45,2016
Alkandari, A. A. and Moein, S.: Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study, Indones. J. Elec. Eng. Comput. Sci., 10, 43–49, https://doi.org/10.11591/ijeecs.v10.i1.pp43-49, 2018.
Anan, K.: `Water-Related Diseases Responsible For 80 Per Cent of All Illnesses, Deaths In Developing World', Says Secretary-General In Environment Day Message, UN, 1, available at: http://www.un.org/press/en/2003/sgsm8707.doc.htm (last access: 6 February 2018), 2003.
Anilkumar, B. and Srikanth, K. R. J.: Design and development of real time paper currency recognition system of demonetization New Indian Notes by using raspberry Pi for visually challenged, Int. J. Mech. Eng. Technol., 9, 884–891, 2018.
Anon: SciKit-Fuzzy – skfuzzy v0.2 docs, available at: http://pythonhosted.org/scikit-fuzzy/overview.html, last access: 20 March 2018.
Bernabé, G., Hernández, R., and Acacio, M. E.: Parallel implementations of the 3D fast wavelet transform on a Raspberry Pi 2 cluster, J. Supercomput., 74, 1765–1778, https://doi.org/10.1007/s11227-016-1933-2, 2018.