Research Progress in Deep-Learning-based Intelligent Forest Pest Detection Methods
Forestry is an important industry in China,which integrates ecological,economic and social benefits.Pests pose a great threat to forest resources and ecological security,and bring in huge economic losses to countries.Rapid,accurate and effective detection of forest pests can curb the spread of and promote the integrated control of pests and diseases,and reduce the harm to forests and ecological environment.The rapid development of deep learning methods has improved the accuracy of forest pest detection.This paper outlines the development process of deep learning,summarizes its application in forest pest detection at home and abroad,discusses the problems and their solutions in the application of deep learning methods,and prospects the development trend of deep learning methods in forest pest detection,in order to provide references for the intelligent forest pest detection.
deep learningtarget detectionforestrypest detection
NETL
NSTL
万方数据
