Volume 11, Number 3

Application of Target Detection Algorithm based on Deep Learning in Farmland Pest Recognition


Shi Wenxiu and Li Nianqiang, University of Jinan, China


Combining with deep learning technology, this paper proposes a method of farmland pest recognition based on target detection algorithm, which realizes the automatic recognition of farmland pest and improves the recognition accuracy. 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.