An Ensemble Machine Learning Framework for Cotton Crop Yield Prediction Using Weather Parameters: A Case Study of Pakistan
In Pakistan, agriculture is one of the most common and least lucrative professions. It provides between 18% and 25% of Pakistan’s overall gross domestic product (GDP). The majority of Pakistan’s crops, like cotton, are completely weather-dependent. Regarding this, farmers are constantl...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2024-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10664030/ |
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