1Assistant Professor, Department of MCA, Sri Siddhartha Institute of Technology, Siddhartha Academy of Higher Education(SAHE), Tumkur, Karnataka, India
2Associate Professor, Department of MCA, Siddaganga Institute of Technology, Visvesvaraya Technological University (VTU), Tumkur, Karnataka, India
*(*Corresponding author) email id: *meghnasnet@yahoo.com
Identification and Classification of food grains in nature is a difficult job for the human beings, many researchers solve this problem by developing machine learning algorithm using computer vision. This paper briefs different method used to extract the features like colour, morphological, shape and texture, which represents the characteristics of image. The survey reveals that N neural Networks (NN), Support Vector Machine (SVM) and KNearest nearest neighbour (KNN) extensively used for classification of food grains.
Food grains, Feature Extraction, Classification, Machine learning, Computer Vision, Identification
