Advanced machine learning for regional potato yield prediction: analysis of essential drivers
Abstract Localized yield prediction is critical for farmers and policymakers, supporting sustainability, food security, and climate change adaptation. This research evaluates machine learning models, including Random Forest and Gradient Boosting, for predicting crop yields. These models can be adapt...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | npj Sustainable Agriculture |
| Online Access: | https://doi.org/10.1038/s44264-025-00052-6 |
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