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 ...