Abstract:

Digital image analysis was adopted in the identification of 40 samples of Xinjiang spring wheat of four varieties according to the spike external morphological characteristics: awn number, awn long, ear length, RGB color features. A three-layer BP neural network classifier was established, the average accurate recognition rate was more than 85%, among which,there were two varieties’ accuracy rate reaching 100%.