Rice Blast Disease Detection Using CNN Models and DCGAN
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36246-0_22
Reference14 articles.
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3. Lu, Y., Yi, S., Zeng, N., Liu, Y., Zhang, Y.: Identification of rice diseases using deep convolutional neural networks. Neurocomputing 267, 378–384 (2017). https://doi.org/10.1016/j.neucom.2017.06.023
4. Asibi, A.E., Chai, Q., Coulter, J.A.: Rice blast: a disease with implications for global food security. Agronomy 9(8), 1–14 (2019). https://doi.org/10.3390/agronomy9080451
5. Yang, Y.H., Yang, D.S., Lei, H.M., Li, C.Y., Li, G.H., Zhao, P.J.: Griseaketides A-D, new aromatic polyketides from the pathogenic fungus Magnaporthe grisea. Molecules 25(1), 1–8 (2020). https://doi.org/10.3390/molecules25010072
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