Identification of Condition of Corn Plant Based on Leaf Image Features Using Gray Level Co-Occurrence Matrix and Backpropagation Neural Network

This study aims to identify the condition of corn plants based on imagery leaf using gray level co-occurrence matrix (GLCM) method and artificial neural network (ANN) backpropagation. The GLCM is used for extracting features from image corn, whereas ANN backpropagation classification plant features. was done a dataset leaves with four conditions: healthy, spot, blight, rust. Next, are extracted training model classify conditions plants. After model, next step evaluation confusion method. research results show that technique can produce accuracy, which tall enough plants, an accuracy 95%. indicates use be good alternative in determining provides benefits facilitating identification state quickly accurately.