A Robust Approach for Identification and Classification of Turmeric Plant Leaf Diseases Using LDA-ANFIS Algorithm

Abstract: Agriculture is the backbone of a country and it plays a very important role in the economy. In the field of agriculture, it is very important to identify the disease of crops and its nature. Turmeric plant is a significant plant used in turmeric production, and turmeric powder is used as medicine for certain diseases and as an antiseptic. There are several pests and diseases with significant effects on turmeric yields and leaf spot disease (Curcuma longa) among the most significant ones. Leaf spot disease leads to large damages to the leaves. The disease initially emerges as small circular spots, then evolves instantly and spreads over the entire leaf surface. The disease ultimately ends up with complete die out of the leaves. The data base of different leaf images was created and processed using SFCM segmentation, and leaf images textural analysis was carried out using GLCM. The LDA-ANFIS classifier is used for classification method and it helps to improve the detection rate and reduce the entropy loss. It is highly efficient and accurate to detect the disease image with different number of categories (Leaf Spot, Leaf Blotch Disease and Bacterial Wilt Disease etc.). Experimental analysis is done to calculate the performance metric like as Accuracy, Precision, F measure, Recall, Sensitivity and Specificity. Then, the comparative analysis of the existing parameters is compared to the proposed algorithm parameters. The proposed system LDA-ANFIS algorithm performance value of accuracy is 98%.