Crop Identification and Disease Detection by Using Convolutional Neural Networks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09469-9_6
Reference21 articles.
1. Zhou, Y., et al.: Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images. Int. J. Appl. Earth Observ. Geoinf. 46, 1–12 (2016)
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3. Yeh, J.-F., Wang, S.-Y., Chen, Y.-P.: Crop disease detection by image processing using modified Alexnet. In: IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS-2021) (2021)
4. Heri Andrianto, S., Faizal, A., Armandika, F.: Smartphone application for deep learning-based rice plant disease detection. In: 2020 International Conference on Information Technology Systems and Innovation (ICITSI), pp. 387–392 (2020)
5. Wu, S., Bao, F., Xu, E., Wang, Y.-X., Chang, Y.-F., Xiang, Q.-L.: A leaf recognition algorithm for plant classification using probabilistic neural network. In: IEEE Symposium on Signal Processing and Information Technology 2007 (2007)
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