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A method to spatially assess multipass spray deposition patterns via UV fluorescence and weed population shifts
Crop Science ( IF 2.0 ) Pub Date : 2024-10-08 , DOI: 10.1002/csc2.21377 Daewon Koo, Navdeep Godara, Juan R. Romero Cubas, Shawn D. Askew
Crop Science ( IF 2.0 ) Pub Date : 2024-10-08 , DOI: 10.1002/csc2.21377 Daewon Koo, Navdeep Godara, Juan R. Romero Cubas, Shawn D. Askew
Spray deposition patterns from agricultural sprayers are traditionally sampled discretely along a field transect accounting for 0.5% or less of the treated area. Such methods may not fully capture the dimensional variability inherent in large-scale, multiple-pass spray applications, especially evident from an agricultural spray drone (ASD). This study investigated the utilization of UV-fluorescent dye and nighttime aerial imaging techniques to assess large-scale, multipass spray deposition patterns. Accuracy of digital hue from UV-fluorescent photography to predict deposition of proxy dye was confirmed via fluorometry assessed intensity levels of extracted UV-fluorescent dye from 384 Petri dishes placed prior to treatment. Results showed that ASD applications, regardless of nozzle type, exhibited greater spatial variability within the target area compared to ride-on sprayer applications, primarily due to overapplication. Additionally, the ASD generated spray drift to adjacent nontarget areas that was at least three times more than that of ride-on and spray-gun sprayers. Multipass deposition was further assessed via in situ smooth crabgrass infestation following treatment with quinclorac or topramezone by multipass ASD or hand-held, four-nozzle spray boom. Weed infestation annotated from overlaid grids with 9.3-dm2 ground resolution inconsistently detected spatial heterogeneity between transects assessed along the center and edge of each sprayer pass. The ASD controlled smooth crabgrass 11% more than the hand-held sprayer, albeit with an 18% increase in spray drift to nontarget areas, similar to the UV-fluorescence study. Digitally assessed average hue of fluorescence photography appears to be a viable method to assess multidimensional and continuous spatial relationships of spray deposition.
中文翻译:
一种通过紫外荧光和杂草种群变化对多通道喷雾沉积模式进行空间评估的方法
传统上,农业喷雾器的喷雾沉积模式是沿着占处理面积 0.5% 或更少的田间样带离散采样的。此类方法可能无法完全捕捉到大规模、多通道喷涂应用中固有的尺寸变化,尤其是在农业喷涂无人机 (ASD) 中很明显。本研究调查了紫外荧光染料和夜间航空成像技术在评估大规模、多通道喷雾沉积模式方面的应用。通过荧光法评估治疗前放置的 384 个培养皿中提取的 UV 荧光染料的强度水平,证实了 UV-荧光摄影的数字色调预测代理染料沉积的准确性。结果表明,与驾驶式喷雾器应用相比,无论喷嘴类型如何,ASD 应用在目标区域内表现出更大的空间可变性,这主要是由于过度应用。此外,ASD 产生的喷雾漂移到相邻的非目标区域,至少是驾驶式和喷枪喷雾器的三倍。通过多通道 ASD 或手持式四喷嘴喷雾喷杆用喹氯酸或托普雷酮处理后,通过原位光滑的马唐草侵染进一步评估多通道沉积。从具有 9.3 dm2 地面分辨率的重叠网格注释的杂草侵扰不一致地检测到沿每个喷雾器通道的中心和边缘评估的横断面之间的空间异质性。ASD 对光滑马齿苋的控制比手持式喷雾器高 11%,尽管向非目标区域的喷雾漂移增加了 18%,类似于紫外荧光研究。 数字评估荧光摄影的平均色调似乎是评估喷雾沉积的多维和连续空间关系的可行方法。
更新日期:2024-10-08
中文翻译:

一种通过紫外荧光和杂草种群变化对多通道喷雾沉积模式进行空间评估的方法
传统上,农业喷雾器的喷雾沉积模式是沿着占处理面积 0.5% 或更少的田间样带离散采样的。此类方法可能无法完全捕捉到大规模、多通道喷涂应用中固有的尺寸变化,尤其是在农业喷涂无人机 (ASD) 中很明显。本研究调查了紫外荧光染料和夜间航空成像技术在评估大规模、多通道喷雾沉积模式方面的应用。通过荧光法评估治疗前放置的 384 个培养皿中提取的 UV 荧光染料的强度水平,证实了 UV-荧光摄影的数字色调预测代理染料沉积的准确性。结果表明,与驾驶式喷雾器应用相比,无论喷嘴类型如何,ASD 应用在目标区域内表现出更大的空间可变性,这主要是由于过度应用。此外,ASD 产生的喷雾漂移到相邻的非目标区域,至少是驾驶式和喷枪喷雾器的三倍。通过多通道 ASD 或手持式四喷嘴喷雾喷杆用喹氯酸或托普雷酮处理后,通过原位光滑的马唐草侵染进一步评估多通道沉积。从具有 9.3 dm2 地面分辨率的重叠网格注释的杂草侵扰不一致地检测到沿每个喷雾器通道的中心和边缘评估的横断面之间的空间异质性。ASD 对光滑马齿苋的控制比手持式喷雾器高 11%,尽管向非目标区域的喷雾漂移增加了 18%,类似于紫外荧光研究。 数字评估荧光摄影的平均色调似乎是评估喷雾沉积的多维和连续空间关系的可行方法。