标题:
基于农作物生长优选环境的方差分析模型The ANOVA Based on Crop Growth Optimization Environment
作者:
陈建杰, 牟唯嫣, 朱华吉
关键字:
农业物联网, 监测数据, 优选环境, 方差分析, 最佳试验点Agricultural IOT, Monitoring Data, Optimization Environment, ANOVA, The Best Test Point
期刊名称:
《Statistics and Application》, Vol.4 No.4, 2015-12-30
摘要:
物联网在农业中的应用，使一系列作物在不同生长周期被模糊处理的问题，都得到了良好把关。然而这种精确把关，从某种程度上讲也是远程控制技术人员经验，感觉的反映。本文基于农作物生长优选环境的选择，对面向农业物联网监测到的数据，采用统计中的方差分析方法构建模型，将统计方法与农业问题的解决相结合，进而准确定量的寻找作物生长的最佳试验点，保证农作物有一个良好适宜的生长环境，并试图将这种方法应用于实践中。
The application of the Internet of things in agriculture has made a series of crops problems in dif-ferent growth periods be well controlled. However, the precise control, to some extent, is also the reflection of experience and feeling from technicists who take charge in the remote control tech-nology. This article based on the choice of crops growth optimizing environment, monitoring date from the agriculture network and construction of model by statistical method of ANOVA, combines statistical method with agriculture problem in order to accurately and quantificationally discover the best sites for crop growth and ensure that crops have a suitable growth environment and even-tually put this method into practice.