A Deep Learning-based Approach for the Detection of Infested Soybean Leaves

We address the soybean leaves infection problem by proposing a robust classification model that can reliably detect infests Diabrotica speciosa and caterpillars. Our transfer-learning based uses VGG19 convolutional neural network to classify we achieve balanced accuracies between 93.71%and 94.16%on unseen testing data, what sets new benchmark outperform previous work using same dataset. has theoretical practical implications. The plays crucial role in agricultural industry. Infestation of soybeans leads enormous economic environmental losses. With our presented here, an early accurate detection control spread plant pests is possible, reduces ecological damages.