The electrical impedance spectra of fresh and naturally aging rice seeds were measured to develop a non-destructive method for measuring the vigour of such seeds. To this end, three frequencies were selected using the coefficient of variation method within various frequency domains. A prediction model was then established using Fisher linear discriminant analysis, with the impedance, phase angle, and three-dimensional size of the seeds at the selected frequencies as independent variables and fresh and aging seeds as dependent variables. The water states and micromorphology of the seeds were subsequently evaluated to reveal the influence mechanism of impedance and vigour. The results showed that the impedance parameters of fresh and aging seeds were distinguishable, and the difference was evident in the low-frequency region. Moreover, the discriminant analysis model showed good predictive ability; the accuracies of the discriminant functions, Y₁ and Y₅, were 90%. The impedance variables had a significant influence on the accuracy of the model, and the prediction accuracies for the fresh and aging seeds were improved by 24% and 14%, respectively, through introduction of the independent variables. Additionally, changes in the vigour, water state, and impedance were observed to be interrelated. The moisture content of the aging seeds was mainly affected by the content of bound water, and the ratio of bound water was inversely proportional to the impedance value. The variation in the impedance of the aging seeds was deemed to result from the combined effect of water state and micromorphology.

测量新鲜和自然老化水稻种子的电阻抗谱，以开发一种非破坏性方法来测量此类种子的活力。为此，在各个频域内使用变异系数方法选择了三个频率。然后使用Fisher线性判别分析建立预测模型，以选定频率下种子的阻抗、相位角和三维尺寸为自变量，新鲜和老化种子为因变量。随后评估了种子的水分状态和微形态，以揭示阻抗和活力的影响机制。结果表明，新鲜种子和老化种子的阻抗参数可区分，并且在低频区域差异明显。而且，判别分析模型显示出良好的预测能力；判别函数的准确性，Y ₁和Y ₅为90%。阻抗变量对模型的精度有显着影响，通过引入自变量，新鲜种子和老化种子的预测精度分别提高了24%和14%。此外，还观察到活力、水状态和阻抗的变化是相互关联的。老化种子的含水量主要受结合水含量的影响，结合水的比例与阻抗值成反比。老化种子阻抗的变化被认为是由水状态和微形态的综合影响造成的。