Multi-resolution mobile vision system for plant leaf disease diagnosis. Issue 2 (February 2016)

• Record Type: Journal Article
• Authors: Prasad, Shitala; Peddoju, Sateesh; Ghosh, Debashis
• Is Part Of: Signal, image and video processing. Volume 10:Issue 2(2016)
• Page Start: 379
• Page End: 388
• Publication Date: 2016-02
• Subjects: Android -- Human mobile interaction (HMI) -- Multi-resolution and multi-directional transform -- Mobile disease diagnosis system -- Pattern recognition -- Plant leaf; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-015-0751-y
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract The process of detecting plant disease by human naked-eye is difficult and very expensive practice, particularly in developing countries like India. Designing and providing a fast-reliable automated mobile vision based solution for such tasks, is a great realistic contribution to the society. In this paper, a mobile client–server architecture for leaf disease detection and diagnosis using a novel combination of Gabor wavelet transform (GWT) and gray level co-occurrence matrix (GLCM), opens a new dimension in pattern recognition, is proposed. Mobile disease diagnosis system represents a diseased patch in multi-resolution and multi-direction feature vector. Mobile client captures and pre-processes the leaf image, segments diseased patches in it and transmits to the Pathology Server, reducing transmission cost. The Server performs the computational tasks: GWT–GLCM feature extraction and $$k$$ k -Nearest Neighbor classification. The result is sent back to the users screen via an SMS (short messaging service) with an accuracy rate of 93 %, in best condition. On the other part, paper also focus on design of Human-mobile interface (HMI), which is useful even for the illiterate farmers, to automatically monitor their field at any stage by just a mobile click. Android is currently used to run this system which can be easily extended to other mobile operating systems.