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Precise control and prediction of the greenhouse growth environment of Dendrobium candidum by Jin-Ting Ding; Hang-Yao Tu; Ze-Lin Zang; Min Huang; Sheng-Jun Zhou is a Agricultural and Biological Sciences article available to read on EtoBox.

What is Precise control and prediction of the greenhouse growth environment of Dendrobium candidum about?

Objective: Dendrobium officinale is a perennial epiphytic herb of the Orchidaceae family. It has very strict needs with respect to growth environment and climatic conditions. In order to precisely control the artificial growth environment of Dendrobium candidum, a monitoring system was designed and implemented using a Programmable Logic Controller (PLC) and Supervisory Control and Data Acquisition (SCADA) system. Methods: A platform was created for precise control using a Siemens S7-200CPU224 PLC and different sensors of various environmental parameters as the control unit and SCADA-configured software as the core of the monitoring unit. We here used 4 indexes, soil temperature, soil moisture, humidity, and light, as prediction parameters and established a three-layer feed-forward fuzzy optimization neural network model. Results: The system not only allows prediction of the optimal environmental parameters for the growth of Dendrobium candidum, real-time monitoring, and intelligent control but also escapes the shortcomings of traditional back-propagation (BP) neural networks, which suffer from slow convergence, shock, and poor generalization. The current model's average prediction

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Author

Jin-Ting Ding; Hang-Yao Tu; Ze-Lin Zang; Min Huang; Sheng-Jun Zhou

Published

2018

Language

EN

Field

Agricultural and Biological Sciences (Physical Sciences)