Skip to Main content Skip to Navigation
Conference papers

Expert Control Based on Neural Networks for Controlling Greenhouse Environment

Abstract : Depending upon the nonlinear feature between neural units in artificial neural networks (ANN), artificial neural network was used to develop a model for greenhouse inside air temperature management. Data was collected and processed for training and simulation of temperature model. The design of the network structure and transfer function was also discussed. Because heuristic logic of greenhouse environment exists, a simple ANN controller does not perfect complex task, the algorithm of ANN with heuristic logic is developed. Experimental result indicated that the performance of the new control scheme meet the requirement of greenhouse environment control.
Document type :
Conference papers
Complete list of metadata

Cited literature [6 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, September 8, 2014 - 1:09:35 PM
Last modification on : Thursday, March 5, 2020 - 5:42:16 PM
Long-term archiving on: : Tuesday, December 9, 2014 - 11:54:46 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Le Du. Expert Control Based on Neural Networks for Controlling Greenhouse Environment. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.126-132, ⟨10.1007/978-3-642-12220-0_20⟩. ⟨hal-01061725⟩



Record views


Files downloads