Figures & data
FIGURE 1 Sample images of the paddy seeds in seven varieties.
FIGURE 2 Flowchart of the image analysis algorithm and main steps of the developed program.
FIGURE 3 Image of a paddy kernel after background removal.
FIGURE 4 A typical multilayer feed forward network.
TABLE 1 The results of LDA for the classification of the seven varieties of paddy based on 17 features
FIGURE 5 A canonical plot showing the discriminant separation of paddy varieties by 17 morphological features.
TABLE 2 The distances between each pair of paddy group means
TABLE 3 Selection of features of individual seeds of paddy using STEPDISC analysis based on their contribution to classification model
TABLE 4 The results of testing the LDA model (n = 938) for classification of paddy seeds based on nine morphological features
TABLE 5 The results of testing the best ANN models for classification of paddy seeds based on both 17 and nine morphological features
FIGURE 6 ANN training and testing accuracies for various numbers of neurons over nine selected features.
TABLE 6 Comparison of the classification accuracy mean of LDA and neural network