WT-ResNet: A Non-Destructive Method for Determining the Nitrogen, Phosphorus, and Potassium Content of Sugarcane Leaves Based on Leaf Image
Traditional nutritional diagnosis suffers from inefficiency, high cost, and damage when predicting the nitrogen, phosphorus, and potassium content of sugarcane leaves. Non-destructive nutritional diagnosis of sugarcane leaves based on traditional machine learning and deep learning suffers from poor...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2025-08-01
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| سلاسل: | Agriculture |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2077-0472/15/16/1752 |
| الوسوم: |
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