Handheld Device Based on Image Processing Technique for Detecting Multiple Diseases of Apple Leaves
The present invention discloses a handheld device for multiple disease detection from apple leaf and method thereof. An algorithm is developed in combination with image processing and gray level co occurrence matrix for the classification of normal leaf and diseased apple leaf. The device performs image processing by segmentation of the image and then by using extracted features. The classification and detection of these diseases impart an early solution to the farmers leading less harm to the apple crops. Conventional Detection of the diseases through naked eye can sometimes be faulty. Therefore the device of present invention helps farmers to detect the accurate diseases and provide timely solutions for the same. The present invention increases the throughput and reduces subjectiveness of the previously used conventional methods by proving early and precise disease detection from apple leaves.