![]() The present research can provide a better solution to provide sufficient quantity of training images to a convolutional neural network model to handle the overfitting and classification problems. ![]() The most common Image augmentation techniques like rotation, zoom, and shift used in the existing research allow to generate new images from the original set and increases the images quantity but cannot minimize the misclassification error. Image augmentation is one of the DL techniques gaining attention in avoiding the risk of overfitting. However, DL networks rely heavily on large data sets to prevent overfitting. ![]() Deep Learning (DL) techniques have led to remarkable achievements in image classification and recognition. Thus, better yields of crops are required for growth of agriculture-based industries. Agriculture plays a vital role in a country's economy.
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