# Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation
## 5 Discussion and Conclusions
[CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON] [PERSON]; [PERSON] Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. In Proceedings of the 2016 15 th IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, USA, 18-20 December 2016; pp. 158-163. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence. In _Cognitive Science and Artificial Intelligence_; SpringerBriefs in Applied Sciences and Technology; Springer: Singapore, 2017. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] PD2 SE-Net: Computer-assisted plant disease diagnosis and severity estimation network. _Comput. Electron. Agric._**2019**, _157_, 518-529. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. _IEEE Trans. Affect. Comput._**2019**, _10_, 223-236. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Rethinking the Inception Architecture for Computer Vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, 27-30 June 2016; pp. 2818-2826. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Densely Connected Convolutional Networks. In Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 21-26 July 2017; pp. 2261-2269. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] MobileNetV2: Inverted Residuals and Linear Bottlenecks. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 18-23 June 2018; pp. 4510-4520. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Very deep convolutional networks for large-scale image recognition. In Proceedings of the ICLR 2015 Conference, San Diego, CA, USA, 7-9 May 2015. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Efficientnet: Rethinking model scaling for convolutional neural networks. In Proceedings of the 36 th International Conference on Machine Learning, PMLR 97, Long Beach, CA, USA, 9-15 June 2019; pp. 6105-6114. Available online: [[https://proceedings.mlr.press/v97/tan19a.html](https://proceedings.mlr.press/v97/tan19a.html)]([https://proceedings.mlr.press/v97/tan19a.html](https://proceedings.mlr.press/v97/tan19a.html)) (accessed on 11 August 2021). * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep Residual Learning for Image Recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June 2016; pp. 770-778. [CrossRef]
* [PERSON] et al. (1998) [PERSON]; [PERSON]; [PERSON]; [PERSON] Gradient-based learning applied to document recognition. _Proc. IEEE_**1998**, _86_, 2278-2324. [CrossRef]
* Available online: [[https://github.com/spMohanty/PlantVillage-Dataset](https://github.com/spMohanty/PlantVillage-Dataset)]([https://github.com/spMohanty/PlantVillage-Dataset](https://github.com/spMohanty/PlantVillage-Dataset)) (accessed on 9 February 2020). * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Comprehensive Survey on Transfer Learning. _Proc. IEEE_**2020**, _109_, 43-76. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] Maize Leaf Disease Detection and Classification Using Machine Learning Algorithms. In _Progress in Computing, Analytics and Networking_; Advances in Intelligent Systems and Computing; [PERSON], [PERSON], [PERSON], [PERSON], [PERSON]; Springer: Singapore, 2020; Volume 1119. [CrossRef]
* [PERSON] (2019) [PERSON] Ethiopian maize diseases recognition and classification using support vector machine. _Int. J. Comput. Vis.