...
首页> 外文期刊>Aspects of Applied Biology >Wheat disease risk forecasts by CropMonitor: in-season updates and risk forecasts via the web and mobile devices
【24h】

Wheat disease risk forecasts by CropMonitor: in-season updates and risk forecasts via the web and mobile devices

机译:CropMonitor进行的小麦疾病风险预测:通过Web和移动设备进行的季节更新和风险预测

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Decision support for disease management in winter wheat has been a goal for crop managers and researchers since fungicides became available for the crop in the 1970s. Much work has focussed on predicting disease severity but the transfer of knowledge,if any, from such activities has proved problematic. Decisions on crop treatment are mostly strategic (decided well in advance) and subsequently backed up with more tactical decisions while actually out in field. Traditional methods of disseminating information on disease infection risk are not suited to either of these decision timings. Work on disease forecasting based on long term disease assessments and observed weather have been used to produce an eventual estimate of the severity of septoria leafblotch which can be issued before the T2 spray timing. In addition, as the season progresses, regularly updated weather data is used to issue continuously available risk indicators for the four main foliar disease of wheat. These can be accessed via a dedicated application running on a Smartphone or similar device therefore giving decision makers’ information on disease risk while in the field. While far from perfect, these types of systems may help resolve the long standing difficulties of transferring research findings into responsive decisions.
机译:自从1970年代开始为作物提供杀真菌剂以来,对冬小麦疾病管理的决策支持一直是作物管理者和研究人员的目标。许多工作都集中在预测疾病的严重程度,但是事实证明,从此类活动中转移知识(如果有的话)是有问题的。有关作物处理的决策大部分都是战略性的(事先决定好),随后在实地进行实地考察时,会以更多的战术决策作为后盾。传播有关疾病感染风险信息的传统方法不适合这些决策时机。基于长期疾病评估和观测天气的疾病预测工作已被用于最终估计出脓疱病的严重程度,该估计可在T2喷雾时间之前发布。此外,随着季节的进行,将使用定期更新的天气数据来发布关于小麦的四种主要叶病的持续可用风险指标。可以通过运行在智能手机或类似设备上的专用应用程序来访问这些文件,从而为决策者在现场提供有关疾病风险的信息。这些类型的系统虽然远非完美,但可以帮助解决将研究结果转化为响应性决策的长期难题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号