首页> 外文OA文献 >Machine learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany

【2h】

Machine learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany

机译：机器学习方法，以评估非线性损伤谱的影响，以考虑德国冬小麦产量的土壤水分

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Michael Peichl; Stephan Thober; Luis Samaniego; Bernd Hansjürgens; Andreas Marx;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Effects of controlling soil moisture regime based on root-sourced signal characteristics on yield formation and water use efficiency of winter wheat [J] . Ma Shou-Chen, Zhang Wei-Qiang, Duan Ai-Wang, Agricultural Water Management . 2019,第期

机译：基于根源地位信号特性控制土壤湿度制度对冬小麦产量形成和水利用效率的影响
2. Effects of tillage and mulching measures on soil moisture and temperature, photosynthetic characteristics and yield of winter wheat [J] . Yang Yonghui, Ding Jinli, Zhang Yunhong, Agricultural Water Management . 2018,第期

机译：耕作与覆盖措施对冬小麦土壤水分和温度，光合特性及产量的影响
3. Effects of green manures during fallow on moisture and nutrients of soil and winter wheat yield on the Loss Plateau of China [J] . Naiwen Xue Zhenping Yang Zhiqiang Gao Chunlai Zhang Jianfu Xue Xiaoli Liu Min Sun Tianqing Du Emirates Journal of Food and Agriculture . 2017,第12期

机译：the荒地绿肥对土壤水分和养分及冬小麦产量的影响
4. Spatial Prediction of Soil Moisture Content in Winter Wheat Based on Machine Learning Model [C] . Hongmei Nie, Lianan Yang, Xinyao Li, International Conference on Geoinformatics . 2018

机译：基于机器学习模型的冬小麦土壤含水量空间预测
5. I. Value of soil test information for crop production. II. Soil pH response to lime and wheat yield response to soil pH. III. Economic strategies of low soil pH management in dual -purpose winter wheat production [D] . Lukin, Vladimir Vasiljevich 2000

机译：I.土壤测试信息对作物生产的价值。二。土壤pH对石灰的响应，小麦产量对土壤pH的响应。三，两用冬小麦生产中土壤pH低管理的经济策略。
6. Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation [O] . Haizhu Pan, Zhongxin Chen, Allard de Wit, 2019

机译：从Sentinel-1和Sentinel-2数据将叶面积指数和土壤水分联合吸收到WOFOST模型中进行冬小麦产量估算
7. Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods [O] . Lin Chen, Minfeng Xing, Binbin He, 2021

机译：使用机器学习方法在生长季节期间估算冬小麦田地的土壤水分

Machine learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany

著录项

引文网络

相似文献

相关主题

期刊订阅