Tomato Leaf Disease Detection Using Hyperparameter Optimization in CNN
2021 13th International Conference on Electrical and Electronics Engineering (ELECO)2021pp. 373–377
Citations Over TimeTop 16% of 2021 papers
Abstract
In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92% to 98%.
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