基于Logistic曲线的草莓生长模型研究

Research on strawberry growth model based on Logistic curve model

草莓作为一种深受广大消费者喜爱的水果,在国内设施栽培及观光采摘领域发展迅速。但目前少有关于其生长模型的研究,多数关于草莓的研究均是基于对田间试验的统计分析来确定种植策略。Logistic曲线模型自提出以来便一直被广泛应用于各类统计数据的拟合,本文以草莓的生长数据为研究对象,使用Logistic曲线模型来定量分析草莓生长周期中累积重量的增长过程,并提出一种改进的生长模型。实验结果显示,本文提出的改进生长模型相较于Logistic曲线模型,与实测曲线相关性更好,在不同种植策略的草莓数据上的拟合效果可决系数(R2)均优于Logistic曲线模型,应用前景良好。

Strawberry, as a kind of fruit favored by many consumers, has developed rapidly in the field of domestic cultivation and sightseeing picking. However, there are few studies on its growth model, and most studies on the strawberry are based on statistical analysis of field trials to determine planting strategies. The Logistic curve model has been widely used in the fitting of various statistical data since it was proposed. In this paper, the growth data of the strawberry is taken as the research object, and the Logistic curve model is used to quantitatively analyze the growth process of the cumulative weight in the strawberry growth cycle, and an improved growth model is proposed. The experimental results show that compared with the Logistic curve model, the improved growth model proposed in this paper has better correlation with the measured curve, and the fitting effect on strawberry data of different planting strategies(R~2) is better than the Logistic curve model. The model is fine to be used in other fields.