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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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Literature Corpus work
7763a636-9b3f-5afc-aa6a-d5ee33a8b798
DOI
10.21203/rs.3.rs-3589884/v1
Open publication

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ITFNet-API: Image and Text Based Multi-Scale Cross-Modal Feature Fusion Network for Agricultural Pest IdentificationDOI 10.21203/rs.3.rs-3589884/v1
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