Volume 11, Number 3

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

  Authors

Shi Wenxiu and Li Nianqiang, University of Jinan, China

  Abstract

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%.

  Keywords

Object detection algorithm, Faster R-CNN, Inception network.