Greenhouse modeling using neural networks

Authors:
Marcos Alberto Bussab;Joao Israel Bernardo;Andre Riyuiti Hirakawa
Affiliations:
Agricultural Automation Laboratory, Polytechnic School of Sao Paulo University, Sao Paulo, Brazil;Agricultural Automation Laboratory, Polytechnic School of Sao Paulo University, Sao Paulo, Brazil;Agricultural Automation Laboratory, Polytechnic School of Sao Paulo University, Sao Paulo, Brazil
Venue:
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Year:
2007

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Abstract

This paper presents an alternative process, based on Neural Networks, for modeling greenhouses. The proposed modeling process takes into account environmental variables and greenhouse features. The model composed by a Perceptron Multi-layer Network is applied to actual greenhouse. Simulation results are compared to experimental values. The results have shown a good approximation between neural network method and measured values.