Abstract
In this work the mathematical models of non-saturated part of soil as the controlled object and the control methods of agricultural cultures’ water well-being upon underground moistening on the bases of specialized artificial neural networks and structure of control loops were developed. The hardware and software components of the automated control system of water well-being are described.
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Matus, S., Stetsenko, A., Krylovets, V., Kutia, V. (2019). Development of an Intelligent Drainage-Humidifying Control System Based on Neo-Fuzzy Neural Networks. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_15
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DOI: https://doi.org/10.1007/978-3-319-97490-3_15
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