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.

Issue

No. 1 (2015): (????)

Section

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