Crop pests and diseases are the first line of defense to ensure the normal growth of crops and play a key role in the normal operation of agricultural activities, while traditional manual recognition and machine learning do not meet the requirements of modern agriculture in terms of accuracy, speed and cost. Deep learning is a branch of artificial intelligence that has been developed significantly in recent years and has a wide range of applications in the direction of computer vision. The application of deep learning to crop pests and diseases is both the development trend and requirement of modern agriculture. Therefore, this study is based on the convolutional neural network in deep learning to study the recognition of crop pests and diseases.
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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
