Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science
Reference27 articles.
1. Oerke E-C. Crop losses to pests. J Agric Sci. 2006;144(1):31–43. https://doi.org/10.1017/S0021859605005708.
2. Rajan P, Radhakrishnan B, Suresh LP. Detection and classification of pests from crop images using support vector machine. In: 2016 International Conference on Emerging Technological Trends (ICETT), 2016; 1–6. https://doi.org/10.1109/ICETT.2016.7873750.
3. Krizhevsky A, Sutskever I, Hinton GE. Imagenet classification with deep convolutional neural networks. In: Pereira F, Burges CJC, Bottou L, Weinberger KQ, editors. Advances in neural information processing systems, vol. 25. Curran Associates, Inc.; 2012.
4. Cheng X, Zhang Y, Chen Y, Wu Y, Yue Y. Pest identification via deep residual learning in complex background. Comput Electron Agric. 2017;141:351–6. https://doi.org/10.1016/j.compag.2017.08.005.
5. Kasinathan T, Singaraju D, Uyyala SR. Insect classification and detection in field crops using modern machine learning techniques. Inf Proc Agric. 2021;8(3):446–57. https://doi.org/10.1016/j.inpa.2020.09.006.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献