Paper Details

Image Processing is basically processing of images using certain mathematical operation by using any formof signal processing method.The input of image processing can be images,videos,series of image etc.The output of imagewill be either image of some characteristics related to images.Mostly the image in image processing are treated as twodimensional image but it can also be treated as three dimensional image.In this paper we are trying to identify diseasesin fruits using captured images.It will basically reduce the human effort.Efficient and accurate recognition of fruits andvegetables from the images is one of the major challenges for computers. In this paper, we introduce a framework for thefruit and vegetable recognition problem which takes the images of fruits and vegetables as input and returns types offruits and its diseases as output.It is hard for human to identify the fruit disease just by seeing. For probing we don’tneed to dichotomise the fruits.In this first we will capture the image of a diseased fruit and we will train the ma- chinethat this type of image is diseased fruit.After this if we capture image and show to our machine it will identify the diseaseof fruit.It will also tell which disease it is having and counter measures to keep a check on such diseases.

Singh Ashutosh, Sohel H. Sheikh, Taufeee Khan, Abhijit Kumar, “Recognition and Detection of Fruits Diseases Using Machine Learning Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 303-305, March 2017.