| dc.description.abstract | Precision agriculture is necessary to improve agricultural productivity of specific crop. Image processing is an important tool for identification of plant diseases, whereas manual detection of crop Tomato disease is a difficult task as it takes serious observation. These diseases cause danger to animals and plants as well as to humans. It causes various health disorders like breathing problems, skin cancer and many more. In this paper, Tomato Disease Detection in Image Processing identification system is presented depending on moment algorithm. The proposed system consists of three steps. First step is pre-processing (conversion to gray Scale Image and thresholding operator) Second step performs features extraction of the original Tomato by using Moment algorithm . The last step implements Tomato Disease identification by using matching ratio. | en_US |
