记笔记

A Research Review of Pest Identification and Detection Based on Deep Learning

Tian Wu¹Gui Wu²Jun Tao¹

1. School of Artificial Intelligence,Jianghan University 2. Educational Administration Office,Jianghan University

摘要：Efficient and accurate identification of pests will effectively help solve agricultural pest problems,promote the intelligence,professional and greening of crop pest control.Traditional pest identification and control methods are inefficient,and the use of artificial intelligence technologies such as deep learning and computer vision can significantly reduce human costs and largely improve the efficiency and accuracy of the pest identification process.A review is conducted on deep learning-based pest identification methods,introducing the application and development of different deep learning networks,analyzing the latest research progress of domestic and international scholars in the field,and comparing the performance and characteristics with each other.Existing pest recognition datasets are summarized to provide a reference for in-depth research on the application of pest recognition and detection.

关键词：

pest; identification; detection; deep learning;

基金：

supported by 2020 Innovation Graduate Research Fund of Jianghan University （Wu Tian）； by teaching research project of Wuhan Education Bureau （2019068）；

会议名称：

第34届中国控制与决策会议

会议时间：

2022-08-15

会议地点：

中国安徽合肥