Implementation of Apple’s automatic sorting system based on machine learning

In order to reduce post-harvest losses, the classification of fresh apples is crucial. Taking hierarchical transmission control system as object, research was carried out on verification bus network can flexibly expand motor equipment, stable and reliable operation motor, accuracy Apple's classification. Combine Labview virtual instrument technology realize design based Controller Area Network technology. Fuzzy PID traditional algorithms are used simulate brushless DC compare advantages fuzzy ensure safe system. Using machine learning model for color detection, Support Vector Machine algorithm finally achieved three types apple samples with a recognition rate 96.7%.