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首页> 外文学位 >Introducing two new weed control tools: A 'smart' spray wand and a wildland weed treatment time model.
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Introducing two new weed control tools: A 'smart' spray wand and a wildland weed treatment time model.

机译：引入了两种新的杂草控制工具：“智能”喷雾棒和野外杂草处理时间模型。

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摘要

Millions are spent managing invasive weeds on public lands each year. Wildland invasive weed treatment bids are based primarily on acreage or hours but can be influenced by variables that increase treatment time and cost. Often neither the agency contracting the treatment nor the contractor has a clear idea of the amount of time that will be involved based on these variables. This makes it difficult to develop an accurate budget or bid for invasive weed control projects. It also limits managers in seeking funding and justifying treatment costs.;A model has been developed that can predict herbicide application time due to four variables, weed canopy cover, slope, land cover, and weed visibility. Other variables were explored.;The "smart" spray wand (SSW) is a new precision tool used to develop this model. The SSW is a spray wand with an integrated GPS and a flow meter for use with any type of spray system. The wand records the GPS location, herbicide flow, application time, and associated data of each treatment spray point. This information provided necessary data for the treatment time model. Weed control total treatment time (TTot) was hypothesized to include both treatment time (Tt) and rest time (Rt). The development and benefits of a wildland weed treatment time model are discussed.;An accurate treatment time model could 1) establish an accurate standard for contractors and land managers, 2) assist in planning and managing limited treatment resources, and 3) justify funding requests and expenditures.;The primary influence of the model is due to weed canopy cover (p=<2.2e-16, R2 =0.5607), with smaller impacts by other variables. If canopy cover, slope, land cover, and weed visibility information can be obtained for a weed control project, the model can be used.
机译：每年花费数百万美元来管理公共土地上的入侵性杂草。野外入侵杂草处理出价主要基于面积或小时数，但可能会受到变量的影响，从而增加了处理时间和成本。通常，基于这些变量，签约治疗的机构或签约方都不会对所涉及的时间有清楚的认识。这使得很难为侵入性除草项目制定准确的预算或出价。这也限制了管理者寻求资金和证明治疗成本的合理性。已经开发了一个模型，该模型可以预测除草剂的施用时间，该模型归因于四个变量，杂草冠层覆盖，坡度，土地覆盖和杂草可见性。探索了其他变量。“智能”喷雾棒（SSW）是用于开发此模型的新型精密工具。 SSW是带有集成GPS和流量计的喷雾棒，可与任何类型的喷雾系统一起使用。棒记录GPS位置，除草剂流量，施用时间以及每个处理喷雾点的相关数据。该信息为治疗时间模型提供了必要的数据。假设杂草控制总处理时间（TTot）包括处理时间（Tt）和休息时间（Rt）。讨论了野外杂草处理时间模型的发展和好处。准确的处理时间模型可以：1）为承包商和土地管理者建立准确的标准； 2）协助规划和管理有限的处理资源； 3）证明资金需求合理该模型的主要影响是由于杂草冠层覆盖（p = <2.2e-16，R2 = 0.5607），而其他变量的影响较小。如果可以为杂草控制项目获得树冠覆盖，坡度，土地覆盖和杂草可见性信息，则可以使用该模型。

著录项

  • 作者

    Dayton, Bryan E.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Plant sciences.;Ecology.;Geographic information science and geodesy.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 96 p.
  • 总页数 96
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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