Robust deep learning method for fruit decay detection and plant identification: enhancing food security and quality control
Pariya Afsharpour,
Toktam Zoughi,
Mahmood Deypir
et al.
Abstract:This paper presents a robust deep learning method for fruit decay detection and plant identification. By addressing the limitations of previous studies that primarily focused on model accuracy, our approach aims to provide a more comprehensive solution that considers the challenges of robustness and limited data scenarios. The proposed method achieves exceptional accuracy of 99.93%, surpassing established models. In addition to its exceptional accuracy, the proposed method highlights the significance of robust… Show more
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