In-situ Optimal Control of Nutrient Solution for Soilless Cultivation
Soilless cultivation is one of main production modes in precision agriculture. Nutrient solution for soilless cultivationprimarilyconsistsof macroelementssuchas NO-3 , H2PO-4, K+ , Ca2+, Mg2+ , and SO2-4.In vegetable-nutrient solution system, there are complicated correlations between greenhouse vegetable growth and nutrient solution, thus it is a challenge to achieve optimal control of nutrient solution. In this work, based on Q-learning, we first propose an in-situ optimal control method of nutrient solution compositions for greenhouse vegetable. Instead of modeling the correlations between greenhouse vegetable growth and nutrient solution, this method searches for optimal control policy through systematic interaction with the environment. The effect of nutrient solution compositions on photosynthetic rate of greenhouse vegetable is experimentally investigated, and on this basis reward function is designed. The experimental results show our method is effective and practical.
nutrient solution in-suit optimal control Q-learning
Feng Chen Haidong He Yongning Tang
Department of Automation University of Science and Technology of China Hefei, China School of Information Technology Illinois State University Chicago, USA
国际会议
2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)
哈尔滨
英文
412-416
2011-01-18(万方平台首次上网日期,不代表论文的发表时间)