基于深度学习的植保无人机识别系统应用研究OA

Aiming at the problem of low accuracy,slow speed and huge labor cost of manual identification and positio-ning of pest species,the application of identification system of plant protection UAV based on deep learning was studied.The recognition system was mainly constituted of three layers:perception layer,transmission layer and application layer.Deep learning algorithm was used for artificial intelligence recognition to enable plant protection UAV to accurately identi-fy and locate pest specied.The convolutional neural network and recognition evaluation indicators ware designed.To verify the performance of the recognition system,training and test,test of model in other data sets were carried out.The test re-sult show that the system has high virus recognition rate and good portability.