Soil moisture forecast for smart irrigation: The primetime for machine learning

Expert Systems with Applications(2022)

引用 13|浏览23
暂无评分
摘要
•IoT and machine learning promote soil moisture forecast for smart irrigation.•Our approach is fully data-driven and independent of domain-knowledge features.•Results come from twelve fields on four farms, from eight crop types in four years.•Boosting outperforms neural networks, and blended models improve performance.•Poor data quality is a challenge for machine learning soil moisture forecast.
更多
查看译文
关键词
Smart irrigation,Machine learning,Soil moisture forecast,Water need estimation,Internet-of-Things
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要