Research on Farmland Pest Image Recognition Based on Target Detection Algorithm


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

Full Text  Volume 10, Number 2