Time Series Feature Extraction Using Transfer Learning Technology for Crop Pest Prediction
Following the rapid development of information and communication technology, and the huge amounts of data that have undergone explosive growth, artificial intelligence and machine learning have been used for predictive analysis in many fields. However, the prediction accuracy of these machine learni...
| Auteurs principaux: | , , , |
|---|---|
| Format: | Article |
| Langue: | English |
| Publié: |
MDPI AG
2023-03-01
|
| Collection: | Agronomy |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2073-4395/13/3/792 |