An optimized control method of multifactor for greenhouse microclimate based on crop photosynthesis rate

According to the recent situation that there is less feasible greenhouse controlling strategy been presented, an optimized energy-saving control method of multifactor for greenhouse is proposed in this paper considering of photosynthetic rate of crops. The data of crops photosynthesis rates in greenhouse are acquired by field tests. Using the data of solar radiation and CO₂ concentration inside greenhouse in Jiading, Shanghai, the light-photosynthesis and CO₂-photosynthesis response curves are fitted respectively. Thus, via these fitting photosynthesis models and the collected climate data, we could get the real-time crops photosynthetic rate, which is modified in the respect of other greenhouse environment factors, such as temperature and CO₂ concentration. Finally, take the environmental multifactorial control algorithm, already in use, as the basic control strategy, a feasible control output is computed and given, so as to promote crop photosynthesis yield and reduce greenhouse control cost. This control strategy integrates with three simplified models, crops growth model, greenhouse control model and energy consumption model.