Recognition and Detection of Fruits Diseases Using Machine Learning Techniques
Keywords:
Image Processing; Segmentation; Feature Extraction; Classification; Machine learning; Clustering; Pattern recognition; Texture analysis;Abstract
Image Processing is basically processing of images using certain mathematical operation by using any form
of signal processing method.The input of image processing can be images,videos,series of image etc.The output of image
will be either image of some characteristics related to images.Mostly the image in image processing are treated as two
dimensional image but it can also be treated as three dimensional image.In this paper we are trying to identify diseases
in fruits using captured images.It will basically reduce the human effort.Efficient and accurate recognition of fruits and
vegetables from the images is one of the major challenges for computers. In this paper, we introduce a framework for the
fruit and vegetable recognition problem which takes the images of fruits and vegetables as input and returns types of
fruits and its diseases as output.It is hard for human to identify the fruit disease just by seeing. For probing we don’t
need to dichotomise the fruits.In this first we will capture the image of a diseased fruit and we will train the ma- chine
that this type of image is diseased fruit.After this if we capture image and show to our machine it will identify the disease
of fruit.It will also tell which disease it is having and counter measures to keep a check on such diseases.
