马万征, 毛罕平, 李忠芳, 王 艳, 倪纪恒. 基于快速无损检测的温室黄瓜果实干质量的测定[J]. 农业工程学报, 2011, 27(11): 247-251.
    引用本文: 马万征, 毛罕平, 李忠芳, 王 艳, 倪纪恒. 基于快速无损检测的温室黄瓜果实干质量的测定[J]. 农业工程学报, 2011, 27(11): 247-251.
    Ma Wanzheng, Mao Hanping, Li Zhongfang, Wang Yan, Ni Jiheng. Determining dry weight of cucumber fruit in greenhouse based on rapid non-destructive testing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(11): 247-251.
    Citation: Ma Wanzheng, Mao Hanping, Li Zhongfang, Wang Yan, Ni Jiheng. Determining dry weight of cucumber fruit in greenhouse based on rapid non-destructive testing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(11): 247-251.

    基于快速无损检测的温室黄瓜果实干质量的测定

    Determining dry weight of cucumber fruit in greenhouse based on rapid non-destructive testing

    • 摘要: 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(rapid non-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(root mean 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。

       

      Abstract: In order to obtain the experimental data which was high-precision, continuity and from the same sample for establishing dynamic models to simulate the growth and development of cucumber in greenhouse. Aiming at researching the dry weight of cucumber fruit in greenhouse by rapid non-destructive testing (RNDT), with the experiment data of cucumber fruit under four kinds of nutrient solution concentration, a simulation model of dry weight was developed based on the relationship among dry weight,fresh weight and fruit volume. The results showed that the determination coefficients (R2) under four kinds of nutrient solution concentration between the predicted values and the measured values were 0.987, 0.993, 0.925, 0.96 respectively, and the root mean squared error (RMSE) under four kinds of nutrient solution concentration between the predicted values and the measured values were 0.281, 0.607, 0.616 and 0.502 respectively. The predicted values were consistent with the data of experiments. So dry weight of any cucumber fruit are non-destructively, simply, quickly and accurately predicted with this model and this model can provide reference for establishing models of dry mass allocation of cucumber in greenhouse.

       

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