Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset

STY Ramadan, T Sakib, F Al Farid, MS Islam… - IEEE …, 2024 - ieeexplore.ieee.org
Global food security is seriously threatened by wheat leaf disease, which makes effective
and precise disease detection and classification techniques necessary. For efficient disease
control and the best possible crop health, timely identification and precise classification are
essential. However, the limited availability of datasets for wheat leaf diseases hinders the
development of effective and robust classification models. This research emphasizes the
importance of precise wheat leaf disease diagnosis for global food security. The existing …

[PDF][PDF] Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset

MDR BHUIYAN, S MANSOR - 2024 - dro.deakin.edu.au
Global food security is seriously threatened by wheat leaf disease, which makes effective
and precise disease detection and classification techniques necessary. For efficient disease
control and the best possible crop health, timely identification and precise classification are
essential. However, the limited availability of datasets for wheat leaf diseases hinders the
development of effective and robust classification models. This research emphasizes the
importance of precise wheat leaf disease diagnosis for global food security. The existing …
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