1. Carter, P. C. S. & Griffith, J. A. Risk assessment and pest detection surveys for exotic pests and diseases which threaten commercial forestry in new zealand. New Zealand J. For. Sci. 19, 353–374 (1989).
2. Magarey, R. D. et al. Risk maps for targeting exotic plant pest detection programs in the united states. Eppo Bull. 41, 46–56 (2011).
3. Wang, Y. & Luo, Y. Pest recognition spraying device design based on pc image processing and near infrared spectrum analysis. J. Agric. Mech. Res. (2017).
4. Sethy, P. et al. Pest detection and recognition in rice crop using svm in approach of bag-of-words (2017).
5. Xia, S., Chen, P., Zhang, J., Li, X. & Wang, B. Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. Neurocomputing 228, 11–18 (2017).