Author:
Tiwari Alarsh,Panwala Swapnil,Mehta Akshita,Bansal Naman,Agarwal Mohit,Mishra Rahul,Gupta Suneet
Reference16 articles.
1. Godfray, H.C.J., Beddington, J.R., Crute, I.R., Haddad, L., Lawrence, D., Muir, J.F., Pretty, J., Robinson, S., Thomas, S.M., Toulmin, C.: Food security: the challenge of feeding 9 billion people. Science 327(5967), 812–818 (2010)
2. Olmstead, J.W., Lang, G.A., Grove, G.G.: Assessment of severity of powdery mildew infection of sweet cherry leaves by digital image analysis. HortScience 36(1), 107–111 (2001)
3. Kawasaki, Y., Uga, H., Kagiwada, S., Iyatomi, H.: Basic study of automated diagnosis of viral plant diseases using convolutional neural networks. In International Symposium on Visual Computing, pp. 638–645. Springer (2015)
4. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)
5. Misra, D., Mohanty, S.N., Agarwal, M., Gupta, S.K.: Convoluted cosmos: classifying galaxy images using deep learning. In: Proceedings of Springer Conference: 3rd International Conference on Data Management. Analytics and Innovation, Malaysia (2019)
Cited by
2 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
1. Synergistic Detection: A Hybrid CNN-XGBoost Model for Cherry Leaf Spot Magnitude Differentiation;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21
2. Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset;Proceedings of the 2023 9th International Conference on Computer Technology Applications;2023-05-10