Plant Clinic - A Mobile App for Grape Plant Disease Detection and Remedies

The detection of plant leaf disease is a very important factor to prevent serious outbreak. Automatic detection of plant disease is essential research topic. Producing Grape is a daunting task as the plant is exposed to the attacks from various micro-organisms, bacterial diseases and pests. The symptoms of the attacks are usually distinguished through the leaves, stems or fruit inspection. This proposed system discusses the effective way used in performing detection of grape diseases through leaf feature inspection. Leaf image is captured and proposed to determine the health status of each plant. This paper proposes various ways in which a farmer can utilize a Mobile application named �MOBICLINIC� on his/her handset, which will be very helpful in better cultivation and marketing of grapes. The main attention of this work is focused on Grape leaf image analysis. Image processing techniques requires large amount of computation power and memory to process for which a mobile devices fails. Hence, this framework uses Web Server Technology, which in effect that puts web services into a farmer�s pocket. The experimental setup uses tool like MATLAB 2012b. In this an Android based mobile devices are used for image acquisition but this is not the only device.