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Crop disease identification is crucial for its role of maintaining crop yield and quality in precision agriculture. Traditional disease detection methods are often inefficient and error-prone. To ...
The performance analysis was also done using confusion matrices. Finally, we created three binary ensembled models such as Xception+InceptionV3, Dense169+Xception and InceptionV3+Dense169 based on ...
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