Rice seeds information system based on artificial neural network

F. Cheng; Y. B. Ying; Z. Y. Liu

doi:10.1117/12.629323

17 November 2005 Rice seeds information system based on artificial neural network

F. Cheng, Y. B. Ying, Z. Y. Liu

Proceedings Volume 5999, Intelligent Systems in Design and Manufacturing VI; 599910 (2005) https://doi.org/10.1117/12.629323
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

The objective of this research is to develop an intelligent information system to recognize rice seeds variety based on image processing and artificial neural network (ANN). At first, images of rice seeds were acquired with a color machine vision system. Each image was processed to extract twenty-one quantitative features. The classification ability of all the features was evaluated for different varieties recognition. To ensure system reasoning veracity and intelligence, ANN was used. A digital image-processing algorithm was developed to classify varieties of rice seeds based on external features. As an example of application of the system, the image data of common rice seeds varieties in Zhejiang province were input and the results of practical application proved that this software system achieved desired results.

Citation Download Citation

F. Cheng, Y. B. Ying, and Z. Y. Liu "Rice seeds information system based on artificial neural network", Proc. SPIE 5999, Intelligent Systems in Design and Manufacturing VI, 599910 (17 November 2005); https://doi.org/10.1117/12.629323

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