Rice disease and pest identification integrating albert pre-trained language model and improved BILSTM
ABSTRACT To solve the low recognition accuracy and slow recognition efficiency in traditional rice disease and pest recognition technology, this study adopts a bidirectional encoder representation pre-training model from a transformer for preliminary recognition of rice diseases and pests. At the sa...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal do Ceará
2025-05-01
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| Series: | Revista Ciência Agronômica |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100664&lng=en&tlng=en |
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