Author : Shi Wenxiu
Affiliation : University of Jinan
Country : China
Category : Computer Science & Information Technology
Volume, Issue, Month, Year : 10, 02, March, 2020
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%.
Keyword : Object detection algorithm, Faster R-CNN, Inception network
For More Details : https://aircconline.com/csit/papers/vol10/csit100210.pdf