Abstract
In order to improve egg hatchability with non-destructive identification of fertilized eggs, a system that captures egg image online and extracts image feature parameters is designed. It takes an TMS320DM642 processing chip as the core and sets up a fuzzy neural network which is based on 5-D input and 1-D output to identify the egg fertilization. The test result indicated that this model has a high speed and accuracy, easy to realize with 97.22% accuracy as matching the requirement of actual test.
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