Deep learning-based classification of rice leaf diseases using hybrid ensemble models

HIGHLIGHTS

• What: The paper reports an impressive accuracy of over 99%, attributing this success to the implementation of an efficient methodology and effective image augmentation strategies. For model evaluation, the authors focus on accuracy and F1-score.
• Who: shahrukh ansari from the (UNIVERSITY) have published the research: Deep Learning-Based Classification of Rice Leaf Diseases Using Hybrid Ensemble Models Volume:, in the Journal: (JOURNAL)
• How: This model also processes the input image and the feature maps are normalized using batch normalization and then flattened which is akin to the way DenseNet121 is employed.
 



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