1. E. Mwebaze, T. Gebru, A. Frome, S. Nsumba, and J. Tusubira, ‘‘iCassava 2019 Fine-Grained Visual Categorization Challenge,’’ arXiv:1908.02900v2 [cs.CV]
2. H. Scharr, H. Dee, A. P. French, and S. A. Tsaftaris, ‘‘Special issue on computer vision and image analysis in plant phenotyping,’’ Mach. Vision Appl. 27, 607–609 (2016). https://doi.org/10.1007/s00138-016-0787-1
3. C. R. Rahman, P. S. Arko, M. E. Ali, M. A. I. Khan, S. H. Apon, F. Nowrin, and A. Wasif, ‘‘Identification and recognition of rice diseases and pests using convolutional neural networks,’’ Biosyst. Eng. 194, 112–120 (2020). https://doi.org/10.1016/j.biosystemseng.2020.03.020
4. An international computer science competition to count wheat ears more effectively, using image analysis. AIcrowd. 2021 Challenge. Global Wheat Dataset. http://www.global-wheat.com/2020-challenge/. Cited March 20, 2021.
5. Global Wheat Detection, Kaggle. https://www.kaggle.com/c/global-wheat-detection/data?select=train. Cited March 20, 2021.