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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| Hoofdauteurs: | , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IEEE
2024-01-01
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| Reeks: | IEEE Access |
| Onderwerpen: | |
| Online toegang: | https://ieeexplore.ieee.org/document/10664030/ |
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