基于环境参数的果蔬品质预测系统

针对果蔬品质受环境因素的影响,研究了两者之间的关系.以葡萄为例,选取温度和湿度为环境参数,品质参数为硬度和失水率.用灰色系统理论GM(1,2)多因子动态模型,确定了环境参数和果蔬品质的关系.设计了一种有效的环境参数和品质参数的测量系统,将果蔬品质的测量转移到环境参数的测量或预测,进而实现对果蔬货架期预测的目的.试验结果表明,用GM(1,2)模型对品质参数预测的误差较小,由于只需测量环境参数而不用测量品质参数,使测量过程变得更加简单并易于操作,而且降低了测量成本.

Prediction system of fruit and vegetable quality based on environmental parameters

As fruit and vegetable quality are affected by environmental parameters, the relationship between them is studied. Take grape for example, the temperature and humidity are selected as environmental parameters, and the hardness change rate and water loss rate as quality parameters. GM (1, 2) multi-factor dynamic model of gray system theory is established to study the relationship of fruit and vegetable quality and environmental parameters. An effective system is designed to measure the environmental parameters for measuring fruit and vegetable quality, in order to realize the purpose of predicting the fruit and vegetable shelf life. The experimental results show that the error of the GM (1, 2) model predicting water loss rate and hardness change rate is smaller. Instead of measuring quality parameters, measuring the environmental parameters becomes simpler and easier to run, and it also reduces the cost of measurement.