Identification, classification & grading of fruits using machine learning & computer intelligence: a review

India is the second largest producer of fruits after China. Due to the lack of skilled workers, 30-35% of the harvested fruits is wasted. Again, because of human perception subjectivity identification, classification and grading of fruits not done precisely. So, it is required to impose the automation system in the fruit industry. The machine learning techniques with adequate concepts of image processing have a great scope to provide intelligence for designing an automation system to differentiate the fruits according to its type, variety, matureness and intactness. This paper presents a brief analysis of techniques proposed in the research articles in the year 2010 to 2019, with a focus on the development of state of the art. The related studies are compared with different techniques for identification, classification and grading of fruits. This paper also outlines the current achievements, limitations, and suggestions for future research.