Intelligent Diagnose System of Wheat Diseases Based on Android Phone

摘要

To improve wheat output and quality by identifying wheat diseases quickly and accurately, an Android phone-based system for intelligently diagnosing wheat diseases is proposed. The users collect images of wheat diseases using Android phones and send the images across the network to the server for disease diagnosis. After receiving disease images, the server performs image segmentation by converting the images from RGB color space to HSI color space. The color moment and the gray level co-occurrence matrix are utilized to extract the color and texture features of the diseases. The preferred features are input to the support vector machine for recognition. And the identification results are fed back to the client. Application tests demonstrate the ability of the proposed system to identify types of disease accurately and efficiently. Thus, the proposed system is very feasible and has a bright prospect for widespread adoption.