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当前位置: 首页 > 文章 > 基于改进鱼群算法的草莓光环境智能调控管理模型 农机化研究 2017,39 (7) 184-188
Position: Home > Articles > Intelligent Control Management Model of Strawberry Light Environment Based on Improved Fish Swarm Algorithm Journal of Agricultural Mechanization Research 2017,39 (7) 184-188

基于改进鱼群算法的草莓光环境智能调控管理模型

作  者：
赵瑜
单  位：
江苏食品药品职业技术学院
关键词：
光合作用;鱼群算法;草莓;光环境;智能调控
摘  要：
草莓的产量与质量与其光合作用的效率有重大关系,而作物的光合效率主要由环境温度和光子通量密度决定,如何实现在不同环境温度测量光饱和点值,是农作物光环境智能调控发展必须决定的问题。为了解决上述问题,采用非线性回归方法,提出了基于改进鱼群算法的草莓光环境智能调控管理模型,通过自动调整鱼群个体视野和步长状态,提高该算法全局寻优性能和搜索精度,并实现不同温度环境下植物光饱和值的精确寻优。试验结果表明:模型计算值与实测值关联性非常高,两者最大相对误差在6%以内,精度值较高,能够较好地满足光合速率调控需要。
译  名：
Intelligent Control Management Model of Strawberry Light Environment Based on Improved Fish Swarm Algorithm
作  者：
Zhao Yu;Jiangsu Food & Pharmaceutical Science College;
关键词：
photosynthesis;;fish swarm algorithm;;strawberry;;light environment;;intelligent control
摘  要：
It has a significant relationship btween strawberry yield and quality and their photosynthetic efficiency. And light crop photosynthetic efficiency is mainly decided by the environmental temperature and photon flux densit. It must decide for crop light environment intelligent control development in order to achieve in different environment temperature measurement light saturation point values. It is proposed the nonlinear regression method based on improved artificial fish swarm algorithm. Through the automatic adjustment of the fish individual field of vision and the step of state,the strawberry ambient light intelligent control management model can improve the algorithm global search ability and search accuracy,and achieve different environment temperature plants under light saturation value of accurate optimization. The experimental results show that the correlation between the calculated and measured values is very high,the maximum relative error is less than 6%,and the accuracy is higher,which can meet the needs of the photosynthetic rate control.

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