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首页> 外文期刊>Applied Engineering in Agriculture >A REAL-TIME WEB TOOL FOR SAFE AERIAL APPLICATION TO AVOID OFF-TARGET MOVEMENT OF SPRAY INDUCED BY STABLE ATMOSPHERIC CONDITIONS IN THE MISSISSIPPI DELTA
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A REAL-TIME WEB TOOL FOR SAFE AERIAL APPLICATION TO AVOID OFF-TARGET MOVEMENT OF SPRAY INDUCED BY STABLE ATMOSPHERIC CONDITIONS IN THE MISSISSIPPI DELTA

机译:安全空中应用的实时网络工具,以避免在密西西比三角洲稳定的大气条件引起的喷雾的偏离目标运动

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摘要

Susceptible crops can be injured far downwind if proper application spray procedure is not followed. Avoidance of stable atmospheric conditions while spraying is important to prevent surface temperature inversion-induced off-target drift of crop protection materials. Our previous studies consistently indicated high likelihood (&90%) of stable atmospheric conditions (unfavorable for spraying) primarily between the hours of 6:00 PM and 6:00 AM during clear conditions in the hot summer months at the Mississippi Delta. With the requirement of timely farm operations, a web application has been developed to provide real-time determination of atmospheric stability and to recommend whether aerial applications are appropriate for a particular location and time. An algorithm was developed to determine atmospheric conditions likely for occurrence of a temperature inversion. This algorithm was programmed using the Python programming language and uploaded to an internet-cloud application platform for publication via HTML. The algorithm calculates the potential of a temperature inversion every hour based on air temperature and wind speed data measured at weather stations deployed over the Mississippi Delta and surrounding areas. The web application is adapted for mobile terminals, such as smartphones and tablets, and can provide timely guidance for aerial applicators and producers to avoid crop damage and air quality issues long distances downwind.
机译:如果不遵循适当的应用喷射程序,易感作物可能会损坏远行。喷涂时避免稳定的大气条件,以防止表面温度反转诱导的作物保护材料的脱靶漂移是重要的。我们以前的研究一直表明高可能性(& 90%)稳定的大气条件(不利于喷洒)主要是在Mississippi Delta在炎热的夏季炎热的夏季的清晰条件下的6:00和早上6:00之间。随着及时农业运营的要求,已经开发了一种Web应用程序来提供大气稳定性的实时确定,并推荐空中应用是否适合特定位置和时间。开发了一种算法以确定可能发生温度反转的大气条件。使用Python编程语言编程该算法,并通过HTML上载到Internet-Cloud应用程序平台。该算法根据在密西西比三角洲和周边地区的天气站测量的气温和风速数据计算温度反转的电位。 Web应用程序适用于移动终端,例如智能手机和平板电脑,并且可以为空中施用器和生产者提供及时指导,以避免作物损坏和空气质量的距离下顺距离。

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