A deep learning model for predicting risks of crop pests and diseases from sequential environmental data
Abstract Crop pests reduce productivity, so managing them through early detection and prevention is essential. Data from various modalities are being used to predict crop diseases by applying machine learning methodology. In particular, because growth environment data is relatively easy to obtain, m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-12-01
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| Series: | Plant Methods |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13007-023-01122-x |