Author:
Brahimi Mohammed,Arsenovic Marko,Laraba Sohaib,Sladojevic Srdjan,Boukhalfa Kamel,Moussaoui Abdelouhab
Publisher
Springer International Publishing
Reference39 articles.
1. Akhtar, A., Khanum, A., Khan, S.A., Shaukat, A.: Automated plant disease analysis (APDA): performance comparison of machine learning techniques. In: 2013 11th International Conference on Frontiers of Information Technology, pp. 60–65. IEEE Computer Society, Islamabad (2013)
2. Al Hiary, H., Bani Ahmad, S., Reyalat, M., Braik, M., ALRahamneh, Z.: Fast and accurate detection and classification of plant diseases. Int. J. Comput. Appl. 17(1), 31–38 (2011)
3. Albarqouni, S., Baur, C., Achilles, F., Belagiannis, V., Demirci, S., Navab, N.: AggNet: deep learning from crowds for mitosis detection in breast cancer histology images. IEEE Trans. Med. Imaging 35(5), 1313–1321 (2016). https://doi.org/10.1109/TMI.2016.2528120
4. Blancard, D.: 2 - Diagnosis of Parasitic and Nonparasitic Diseases. Academic Press, The Netherlands (2012)
5. Brahimi, M., Boukhalfa, K., Moussaoui, A.: Deep learning for tomato diseases: classification and symptoms visualization. Appl. Artif. Intell. 31(4), 1–17 (2017)
Cited by
173 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