Analysis of meteorological factors affecting the droplets deposition in the prevention and control of wheat scab by unmanned aerial vehicle and construction of deposition prediction models
To clarify the influence of different meteorological conditions on droplets deposition within the canopy in the prevention and control of wheat scab by unmanned aerial vehicle(UAV),the Dajiang T40 four-axis eight-rotor UAV was used to spray fungicides solution in the different wheat areas.The deposition amount and coverage rate of fungicide droplets were collected and calculated using allure red tracer,polyester card,water-sensitive paper,etc.Field meteorological factors were recorded in real-time and categorized as follows:temperatures were classified as A1(10℃≤T＜20℃),A2(20℃≤T＜30℃),A3(30℃≤T＜40℃);relative humidity was classified as B1(30％≤RH＜50％),B2(50％≤ RH＜70％),B3(70％≤ RH＜90％);wind speed was classified as C1(0 m/s≤V＜1.6 m/s),C2(1.6 m/s≤ V＜3.4 m/s),and C3(3.4 m/s≤ V＜5.5 m/s).Statistical methods such as analysis of variance and multiple comparisons of main effects were used to uncover the trends in the impact of different combinations of meteorological levels on droplets deposition and coverage rate.Prediction models for deposition amount and coverage rate were constructed based on meteorological factors.The results showed that the favorable order of different temperatures,relative humidity,and wind speed levels on droplets deposition was A1≥A2＞A3,B3＞B2＞B1,C1≥C2＞C3,respectively.The influence of different meteorological levels on coverage rate and deposition was basically consistent,with relative humidity having a significant impact on droplets coverage rate and deposition,and the interaction between temperature and wind speed also imposed a significant impact on coverage rate.The accuracies of the upper-layer droplets deposition amount and coverage rate predicted by the models constructed based on meteorological factors were 88.15％,82.82％,with a root mean square error of 0.030 μL/cm2 and 1.33％,respectively.These models demonstrate high reliability and can be applied to meteorological forecasting services for plant protection using UAV.These research findings provide valuable guidance for the timely fungicide spraying operations by UAV for plant protection,enhancing prevention and control effects and reducing fungicide pollution in the agricultural ecological environment.
meteorological conditionsunmanned aerial vehicle for plant protectiondroplets depositioncoverage rate
万方数据
维普
