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Smart Fruit Classification using Neural Networks

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 1)

Publication Date:

Authors : ;

Page : 1298-1303

Keywords : Computer Engineering; Neural Network; Perceptron Algorithm; Fruits; Features; Classifiers;

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The objective of this project is to develop a system that helps the food industry to classify fruits based on specific quality features. Our system will give best performance when used to sort some brand of fruits. The fruit industry plays a vital role in a country's economic growth. They account for a fraction of the agricultural output produced by a country. It forms a part of the food processing industry. Fruits are a major source of energy, vitamins, minerals, fiber and other nutrients. They contribute to an essential part of our diet. Fruits come in varying shapes, color and sizes. Some of them are exported, thereby yielding profit to the industry. K. Sandhiya | M. Vidhya | M. Shivaranjani | S. Saranya"Smart Fruit Classification using Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL:

Last modified: 2018-08-01 15:02:01