Cereal Chem 63:168-172   |  VIEW ARTICLE
Application of Pattern Recognition Techniques in the Analysis of Cereal Grains.

F. S. Lai, I. Zayas, and Y. Pomeranz. Copyright 1986 by the American Association of Cereal Chemists, Inc. 

Objective methods are required to characterize grains in plant breeding programs and in marketing channels. Pattern recognition techniques can be used as an aid in such characterization. Pattern recognition, a learning algorithm stored in a computer, was found effective in identifying and classifying cereal grains. Patterns of six grains (corn, soybeans, rice, sorghum grain, barley, and wheat) were developed, and the patterns were tested for their accuracy in the recognition of grains. In addition, the technique was applied to differentiate between brown and white rice and in the study of spericity of corn kernels.