Shi Wenxiu and Li Nianqiang, University of Jinan, China

In order to achieve the automatic identification of farmland pests and improve recognition accuracy, this paper proposes a method of farmland pest identification based on target detection algorithm .First of all, a labeled farm pest database is established; then uses Faster R-CNN algorithm, the model uses the improved Inception network for testing; finally, the proposed target detection model is trained and tested on the farm pest database, with the average precision up to 90.54%.

Object detection algorithm, Faster R-CNN, Inception network