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为了获得高精度、连续性及同一样本的试验数据以建立温室黄瓜果实生长发育的动态模型,该文以研究快速无损检测(rapidnon-destructive testing,RNDT)温室黄瓜果实干质量为目的,通过研究4种不同营养液浓度下的黄瓜果实的试验数据,构建了不同营养液浓度下黄瓜果实干质量与鲜质量、体积的模型。结果表明,不同营养液浓度下果实干质量的预测值与实测值的决定系数(R2)和回归估计标准误差(rootmean square error,RMSE)分别为:0.987和0.281(营养液稀释倍数1:200),0.993和0.607(营养液稀释倍数1:100),0.925和0.616(营养液稀释倍数1:50),0.96和0.502(营养液稀释倍数1:30),模型的预测值与实测值之间的吻合度较好。因此,该模型可以无损、简单、快速和精确预测任意黄瓜果实的干质量,为温室黄瓜干质量分配模型的构建提供参考。
In order to obtain the dynamic data of growth and development of greenhouse cucumber fruits in order to obtain high precision, continuity and test data of the same sample, aiming at studying the dry weight of cucumber fruits in rapidnon-destructive testing (RNDT) The experimental data of cucumber fruits under different nutrient concentrations were used to build a model of cucumber fruit dry weight, fresh weight and volume at different nutrient concentrations. The results showed that the determination coefficient (R2) and the root mean square error (RMSE) of predicted and measured values of fruit dry mass under different nutrient concentrations were 0.987 and 0.281 (nutrient solution dilution ratio 1: 200) , 0.993 and 0.607 (nutrient solution dilution ratio 1: 100), 0.925 and 0.616 (nutrient solution dilution ratio 1:50), 0.96 and 0.502 (nutrient solution dilution ratio 1:30) respectively. The predicted value of the model and the measured value Good agreement. Therefore, the model can predict the dry weight of any cucumber fruit without damage, simply, quickly and accurately, and provide a reference for the construction of the greenhouse cucumber dry mass allocation model.