Smart Fruit Classification using Neural Networks
Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 1)Publication Date: 2018-07-31
Authors : K. Sandhiya M. Vidhya M. Shivaranjani S. Saranya;
Page : 1298-1303
Keywords : Computer Engineering; Neural Network; Perceptron Algorithm; Fruits; Features; Classifiers;
Abstract
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: http://www.ijtsrd.com/papers/ijtsrd6986.pdf http://www.ijtsrd.com/engineering/computer-engineering/6986/smart-fruit-classification-using-neural-networks/k-sandhiya
Other Latest Articles
- Improved Clustering Technique in Marketing Sector
- Analysis on Spatial Variation of Rainfall and Groundwater Fluctuation in Hebballa Watershed, Mysore District, Karnataka, India
- Chaos Suppression and Practical Stabilization of Uncertain Generalized Duffing-Holmes Control Systems with Unknown Actuator Nonlinearity
- Managing Cultural Diversities in Internationalisation of Business
- Social Media in Tourism- A Double-Edged Sword
Last modified: 2018-08-01 15:02:01