通过机器学习方法研究气候因素对无花果生产效率的影响
1Faculty of Agriculture, Department of Agricultural Economics, Iğdır University, Iğdır, Turkey.
Journal of the science of food and agriculture
|May 31, 2024
概括
气候变化对土耳其无花果产量产生了重大影响,温度变化是主要的驱动因素. 机器学习模型揭示了影响产量的关键气候变量,这对可持续农业至关重要.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 数据科学数据科学数据科学
背景情况:
- 无花果生产对土耳其农业经济至关重要.
- 了解气候变化影响对于可持续农业实践至关重要.
研究的目的:
- 使用机器学习调查气候变化对土耳其无花果生产的影响.
- 分析1988-2023年的生产绩效和气候数据.
主要方法:
- 采用了极端梯度提升 (XGBoost) 算法.
- 开发了两个机器学习模型:一个是每年收益率,另一个是每年收益率.
- 利用八个气候变量 (16个包括白天/夜晚) 作为独立因素.
主要成果:
- 温度变化被确定为影响最大的气候变量 (41.30%和43.90%的贡献).
- 热辐射和2米温度也对无花果产量产生了重大影响.
- 风速,降水和湿度的影响较小.
结论:
- 机器学习为气候变化和无花果生产的相互关系提供了宝贵的见解.
- 预测建模可以为未来的农业实践提供信息,以提高可持续性.
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