AUTOMATED CONTROL SYSTEM IN GREENHOUSE WITH NEURAL NETWORK PREDICTIONS OF EXTERNAL DISTURBANCES

Authors

  • A. Dudnyk

Abstract

Efficiency of creation automation control system in a greenhouse with using solar radiation intensity and temperature predictions by neural networks is shown. so-bidi-language:AR-SA'>on the angular speed, technological and energy characteristics of the feed mixer are conducted. The dependences of uneven mixing and specific consumption of electric on voltage are established.

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Issue

No. 1 (2015): (англ)

Section

Статті

License

All materials are disseminated under the terms of the Creative Commons Attribution 4.0 International Public License, which permits others to distribute the manuscript with proper acknowledgement of the authorship and the original publication in this journal.

How to Cite

Dudnyk, A. (2016). AUTOMATED CONTROL SYSTEM IN GREENHOUSE WITH NEURAL NETWORK PREDICTIONS OF EXTERNAL DISTURBANCES. Energy and Automation, 1. https://journals.nubip.edu.ua/index.php/Energiya/article/view/5742