Abstract:
One of the main dangers to the agricultural industry that greatly increases crop damage is plant leaf infections or diseases. To lessen the severity of plant leaf disease...Show MoreMetadata
Abstract:
One of the main dangers to the agricultural industry that greatly increases crop damage is plant leaf infections or diseases. To lessen the severity of plant leaf diseases and thus minimise financial losses, quick and effective detection is crucial. Here, employing datasets of images of plant leaves, the Inception-v3 technique, which is focused on deep learning, has been presented to identify and categorise numerous plant leaf diseases. To improve the small datasets, the method also uses Mask Recurrent Neural Network (RCNN). The performance of the suggested model is assessed experimentally using several classes of RCNNs.According to the experiment's findings, the mask RCNN model is more suitable than MASK RCNN as a data preprocessing strategy in terms of Class Accuracy, Precision, Recall, F1 Score, and Precision. It also obtains the highest accuracy. Comparing the MASK RCNN model to other methods described in the literature, it also achieves an accuracy of quality factors.
Date of Conference: 16-17 October 2022
Date Added to IEEE Xplore: 13 December 2022
ISBN Information: