1. Soybean [Glycine max (L.) Merr.] breeding: history, improvement, production and future opportunities;Anderson;Advances in Plant Breeding Strategies: Legumes:,2019
2. A new proposal for automatic identification of multiple soybean diseases;Araujo;Comput. Electron. Agric.,2019
3. Deep learning-based plant classification and crop disease classification by thermal camera;Batchuluun;Journal of King Saud University-Computer and Information Sciences,2022
4. [dataset] Bevers, Noah, Sikora, Edward J., Hardy, Nate B. 2022. Pictures of diseased soybean leaves by category captured in field and with controlled backgrounds: Auburn soybean disease image dataset (ASDID), Dryad, Dataset, https://doi.org/10.5061/dryad.41ns1rnj3.
5. Soybean disease identification using original field images and transfer learning with convolutional neural networks;Bevers;Comput. Electron. Agric.,2022