Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device
Studies reported that 12–40% of stored grains are lost due to insects, but the use of early detection devices such as acoustic sensors can guide subsequent storage management to reducing losses. Acoustic detection can directly identify the cause of damage (i.e., insects) in stored grains rather than...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/155309 |
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