Intelligent process control system of water treatment for nutrient solutions of drip irrigation

DOI

10.2991/ispc-19.2019.65How to use a DOI?

Keywords

water treatment, nutrient solution, artificial neural network, technology

Abstract

On the basis of theoretical and experimental studies on water treatment for nutrient solutions of drip irrigation technologies for growing cucumbers in protected soil, as well as experience in the development and technology of artificial intelligence (AI), the structure of an artificial neural network (ANN) for water treatment of joint stock company "Greenhouse complex "Zavyalovsky"was developed. Produced training the ANN based on experimental data and well-known algorithms, and provides aproximacion actual data and obtained by using the trained ANN of indicators proving viability and effectiveness of conducted research. The use of ANN in water treatment for drip irrigation allows you to save the components of the nutrient solution, which, as a result, can significantly increase the yield and quality of the grown fruits, without overdose of nitrates and other components from the nutrient medium.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Vladimir Kasatkin
AU  - Nadezhda Кasatkina
AU  - Marianna Svalova
PY  - 2019/06
DA  - 2019/06
TI  - Intelligent process control system of water treatment for nutrient solutions of drip irrigation
BT  - Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
PB  - Atlantis Press
SP  - 289
EP  - 292
SN  - 1951-6851
UR  - https://doi.org/10.2991/ispc-19.2019.65
DO  - 10.2991/ispc-19.2019.65
ID  - Kasatkin2019/06
ER  -