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What is Rice Disease and Pest Detection with CNN about?

This research paper discusses the use of convolutional neural networks (CNNs) for the identification and recognition of rice diseases and pests, highlighting the effectiveness of architectures like VGG16 and InceptionV3. It introduces a novel two-stage small CNN architecture that achieves high accuracy while being significantly smaller in size, making it suitable for mobile applications. The study emphasizes the importance of accurate and timely detection to help farmers reduce economic losses from rice dis

Author

Fira Magfirah

Language

EN