Author:
Agilandeeswari L.,Kiruthik Suriyah M.
Publisher
Springer Nature Switzerland
Reference22 articles.
1. https://globalagriculturalproductivity.org/a-sustainable-rice-solution-dia/#:~:text=Total%20rice%20consumption%20in%20India,60%20percent%20of%20the%20population
2. Jiang, Z., Dong, Z., Jiang, W., Yang, Y.: Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning. Comput. Electron. Agric. 186, 106184 (2021)
3. Al-Amin, M., Karim, D. Z., Bushra, T. A.: Prediction of rice disease from leaves using deep convolution neural network towards a digital agricultural system. In: 2019 22nd International Conference on Computer and Information Technology (ICCIT), pp. 1–5. IEEE (December 2019)
4. Hossain, S.M., et al.: Rice leaf diseases recognition using convolutional neural networks. In: ADMA 2020, pp. 299–314. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-65390-3_23
5. Rahman, C.R., et al.: Identification and recognition of rice diseases and pests using convolutional neural networks. Biosys. Eng. 194, 112–120 (2020)