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FTIR Spectroscopy for Corn Disease Diagnosis by Indah rizki Kurniawati is a document available to read on EtoBox.
What is FTIR Spectroscopy for Corn Disease Diagnosis about?
This study investigates the diagnosis of corn leaf diseases, specifically northern corn leaf blight (NCLB) and gray leaf spot (GLS), using Fourier-transform infrared (FTIR) spectroscopy combined with machine learning techniques. The research demonstrates that the VIP-KNN model achieved a classification accuracy of 97.46% by effectively selecting critical spectral features, highlighting the potential of this method for rapid and accurate disease detection in corn. The findings emphasize the importance of int
- Author
- Indah rizki Kurniawati
- Language
- EN