1 |
Sladojevic, S., Arsenovic, M., Anderla, A., Culibrk, D., and Stefanovic, D., Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification, Computational Intelligence and Neuroscience, 2016, Vol. 2016, pp.1-11.
|
2 |
Picon, A., Alvarez-Gila, A., Seitz, M., Ortiz- Barredo, A., Echazarra, J., and Johannes, A., Deep Convolutional Neural Networks for Mobile Capture Device-based Crop Disease Classification in the Wild, Computer Electronics Agriculture, 2018, Vol. 138, pp. 200-209.
DOI
|
3 |
Agarwal, M., Gupta, S.K., and Biswas, K.K., Development of Efficient CNN model for Tomato Crop Disease Identification, Sustainable Computing: Informatics and Systems, 2020, Vol. 28, 100407.
DOI
|
4 |
Bhattarai, S., New Plant Diseases Dataset: Image dataset containing different healthy and unhealthy crop leaves, https://www.kaggle.com/vipoooool/new-plant-diseases-dataset.
|
5 |
Ferentinos, K.P., Deep Learning Models for Plant Disease Detection and Diagnosis, Computer Electronics Agriculture, 2018, Vol. 138, pp. 311-318.
DOI
|
6 |
Goodfellow, I., Bengio, Y., and Courville, A., Deep Learning, MIT Press, 2015, pp.118.
|
7 |
Jeong, S.B. and Yoon, H.-S., An Efficient Disease Inspection Model for Untrained Crops Using VGG16, Journal of the Korea Society for Simulation, 2020, Vol. 29, No.4, pp. 1-7.
DOI
|
8 |
Khamparia1, A., Saini1, G., Gupta, D., Khanna, A., Tiwari, S., and Albuquerque, V. H. C., Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network, Circuits, Systems, and Signal Processing, 2020, Vol. 39, pp. 818- 836.
DOI
|
9 |
Jia, D., Wei, D., Richard, S., Li, L.J., Li, K., and Li, F.F., ImageNet: A Large-scale Hierarchical Image Database, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2009, pp. 248-255.
|
10 |
Rangarajan, A.K., Purushothaman, R., and Ramesh, A., Tomato Crop Disease Classification Using Pre-trained Deep Learning Algorithm, Proceedings of the International Conference on Robitcs and Smart Manufacturing, 2018, pp. 1040-1047.
|
11 |
Saleem, M.H., Potgieter, J., and Arif, K.M., Plant Disease Detection and Classification by Deep Learning, Plants, 2019, Vol. 8, pp. 468-490.
DOI
|
12 |
Sardogan, M., Tuncer, A., and Ozen, Y., Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm, Proceedings of the International Conference on Computer Science and Engineering, 2018, pp. 382-385.
|
13 |
Shijie, J., Peiyi, J., Siping, H., Haibo, L. (2017) Automatic detection of tomato disease and pests based on leaf images, Chinese Automation Congress, pp. 3507-3510.
|
14 |
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R., Dropout: a simple way to prevent neural network from overfitting, Journal of Machine Learning Research, 2015, Vol. 15, pp. 1929-1958.
|
15 |
Huang, T., Yang, R., Huang, W., Huang, Y., and Qiao, X., Detecting Sugarcane Borer Diseases Using Support Vector Machine, Information Processing Agriculture, 2018, Vol. 5, No. 1, pp. 74-82.
DOI
|