Article
ITFNet-API: Image and Text Based Multi-Scale Cross-Modal Feature Fusion Network for Agricultural Pest Identification
2023-11-15
Abstract excerpt
<title>Abstract</title> <p>In agricultural production, pest problems are inevitable. In recent years, China has suffered annual losses of up to 40 million tons of grain due to various pests and diseases. There are over one million known insect species in the natural world, exhibiting complex and diverse morphologies, making manual identification costly. With the advancement of deep learning technologies, methods...
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Identifiers and source
- Literature Corpus work
- 7763a636-9b3f-5afc-aa6a-d5ee33a8b798
- DOI
- 10.21203/rs.3.rs-3589884/v1
