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What is Crop Pest Classification Techniques about?

The literature review table summarizes 11 references that describe various approaches for automatic classification of crop pests using computer vision and deep learning techniques. The references contributed multi-level learning features for classifying 40 pest species with high accuracy, investigated 44 studies on entomology to understand challenges in pattern recognition for insects, and used convolutional neural networks to achieve over 98% accuracy in detecting 10 crop pest types in natural scenes. One

Author

khadijaamir435

Language

EN