Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference
[Objective]In the era of digital agriculture, real-time monitoring and predictive modeling of crop growth are paramount, especially in autonomous farming systems. Traditional crop growth models, often constrained by their reliance on static, rule-based methods, fail to capture the dynamic and multif...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Smart Agriculture
2024-11-01
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| Series: | 智慧农业 |
| Subjects: | |
| Online Access: | https://www.smartag.net.cn/CN/rich_html/10.12133/j.smartag.SA202410008 |
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