BibTeX:

@article{IJIRSTV3I1139,
     title={Optimization And Classification Of Fruit Using Machine Learning Algorithm},
     author={Ms. Snehal S. Mahajan and Prof. S.T. Patil},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={377--381},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1139.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In the world of Automation there is agriculture which is come into play to increase productivity, quality as well as economic growth of the country. Fruit classification is an important process for separating different fruits. For this purpose support vector machine (SVM) and Genetic algorithm (GA) is using to give best result. Here GA and SVM perform separate operation where GA is use for optimization of feature and then SVM is use for classification. Three type of fruit images i.e. apples, banana and grapes are using for classification. 178 fruit images is using for series of experiment. Feature extraction process performed after preprocessing process. In feature extraction process, shape, texture and color of image characteristics extracted. Than above optimization process is use for improving classification process and get better accuracy.

Fruit classification, Feature optimization, Feature extraction, Genetic Algorithm, Support vector machine