2 September 2003 Soft computing technology for modeling of greenhouse climate control
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Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522080
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
The objective of this paper is present a reasonable system model to set greenhouse daytime optimal temperature thereby to achieve the most net profit. In order to set an optimal tmeperature point in a greenhouse, it is essential to construct plants growth model and calculate the cost of modifying environment. In this paper a soft computing system for greenhouse temperature setting has been developed and integrated. It includes three parts. One is an algorithm depending on the energy consumption of each component of heating and ventilation equipment according to two reasonable formulae. The other is a neural network for forecast the photosynthesis rate of tomato according to light intensity, temperature, CO2 concentration, and LAI. The sample data rooted in TOMGRO. The last part is a GA for searching an optimal temperature setting point in daytime.
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Lujuan Deng, Kanyu Zhang, Youmin Gong, Shengxue Wang, "Soft computing technology for modeling of greenhouse climate control", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522080; https://doi.org/10.1117/12.522080
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