Optimizing pesticide spray coverage using a novel web and smartphone tool, SnapCard
Optimizing pesticide spray coverage using a novel web and smartphone tool, SnapCard
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DOI：
10.1007/s13593-015-0309-y
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发表时间：
2015-07-01
影响因子：
7.3
通讯作者：
Hewitt, Andrew
中科院分区：
文献类型：
--
作者：
Nansen, Christian;Ferguson, J. Connor;Hewitt, Andrew
过度使用杀虫剂导致水和食物受到污染。因此，需要优化农药施用的工具和策略。在这里，我们介绍了SnapCard，这是一个用户友好的免费决策支持工具，供农民和农业顾问使用，可在SnapCard . agriculture .wa.gov.au获得。SnapCard允许预测、测量和存档从水敏感喷雾卡量化的农药喷雾覆盖。变量包括喷雾设置，如喷嘴孔大小、喷雾速度、载水量和助剂，以及天气变量，如气压、相对湿度、温度和地面风速。我们对四种喷嘴类型使用单独的回归模型。结果表明，四种喷嘴类型的载水量与喷雾覆盖率之间存在很强的正相关关系。此外，喷雾速度与获得的喷雾覆盖率呈高度负相关。此外，无论是喷嘴类型还是使用特定的佐剂，在整个水载体间隔内都没有一致的效果。我们得出结论，不同的喷雾设置和天气条件的组合导致四种喷嘴类型之间的喷雾覆盖范围明显，从而突出了选择正确的喷嘴孔尺寸和类型的重要性。我们证明了环境条件和喷雾设置的现实场景可以导致四种喷嘴类型中至少一种的喷雾覆盖率非常低的预测。我们讨论了如何使用新颖且免费的智能手机应用SnapCard来优化喷雾覆盖，减少喷雾漂移，并最大限度地降低目标害虫种群中抗性发展的风险。
The overuse of pesticides leads to contamination of water and food. Therefore, there is a need for tools and strategies to optimize pesticide application. Here we present SnapCard, a user-friendly and freely available decision support tool for farmers and agricultural consultants, available at snapcard.agric.wa.gov.au. SnapCard allows to predict, measure, and archive pesticide spray coverage quantified from water-sensitive spray cards. Variables include spray settings such as nozzle orifice size, sprayer speed, water carrier rate and adjuvant, and weather variables such as barometric pressure, relative humidity, temperature, and wind speed at ground level. We use separate regression models for four nozzles types. Our results showed that there are strong and positive correlations between water carrier rate and spray coverage for all four nozzle types. Moreover, sprayer speed is highly negatively correlated with obtained spray coverage. In addition, there is no consistent effect of either nozzle type or use of a particular adjuvant, across water carrier intervals. We conclude that varying combinations of spray settings and weather conditions caused marked ranges of spray coverages among the four nozzle types, thus highlighting the importance of selecting the right nozzle orifice size and type. We demonstrate that realistic scenarios of environmental conditions and spray settings can lead to predictions of very low spray coverage with at least one of the four nozzle types. We discuss how the novel and freely available smartphone app, SnapCard, can be used to optimize spray coverage, reduce spray drift, and minimize the risk of resistance development in target pest populations.