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...
المؤلفون الرئيسيون: | Ming-Fong Tsai, Chun-Ying Lan, Neng-Chung Wang, Lien-Wu Chen |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
MDPI AG
2023-03-01
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سلاسل: | Agronomy |
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.mdpi.com/2073-4395/13/3/792 |
مواد مشابهة
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Pests of crops in Indonesia /
حسب: 295344 Kalshoven, L. G. E.
منشور في: (1981) -
Pests and diseases of tropical crops /
حسب: 198093 Hill, D. S., وآخرون
منشور في: (1982) -
Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module
حسب: Chenrui Kang, وآخرون
منشور في: (2025-01-01) -
Insect pest management in vegetable crops through trap cropping: Review
حسب: LALITA PANWAR, وآخرون
منشور في: (2021-11-01) -
An Entire-and-Partial Feature Transfer Learning Approach for Detecting the Frequency of Pest Occurrence
حسب: Yuh-Shyan Chen, وآخرون
منشور في: (2020-01-01)