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| 1 | 无人机变量施药实时监控系统设计与试验显示文摘在航空施药过程中,为保证单位面积施药量的一致性、实现施药流量的实时控制,提出一种航空变量施药分级控制算法。该算法根据各参数的等级和阀门开度建立分级控制表,再结合分级控制公式计算作业参数变化时阀门对应的开度,从而计算出施药流量,实现施药流量的自动调节。基于该算法设计了基于单片机多信息融合的航空变量施药实时监控系统,通过软硬件设计实现了对作业航迹、作业高度、作业速度、施药流量及药液余量等信息的实时监测,进行了航迹监测试验、施药流量监测试验、液位监测试验和变量施药控制试验等。结果表明,该系统可以准确监测多种作业参数,并可根据参数变化精准调控施药流量;飞行航迹监测平均偏差为0.98 m,施药流量监测平均误差为3.57%,液位监测平均误差为1.97%,系统对流量控制的最大误差为9.26%。 | 刘洋洋 茹煜 陈青 陈旭阳 刘彬 | 2020 | 农业机械学报2020，51，7： | 17 |
| 2 | 直升机航空施药全覆盖航线规划算法显示文摘为避免航空施药过程中由于多施、漏施、重施等现象造成的覆盖不精准问题,该研究开发了一种航程短,覆盖范围精准的航空施药全覆盖航线规划算法。首先基于区域全覆盖原理,通过对施药作业区域外喷雾航程计算与分析,得出在全覆盖的前提下,区域外最短喷雾航程计算公式。再结合全覆盖航线规划方法,得出全覆盖航空施药的最优航线规划算法,并通过软硬件设计实现了实时采集飞行轨迹,通过OneNet物联网平台与移动终端进行信息双向传输。最后分别对3种不同地形的试验场地进行了7个不同航向的全覆盖喷雾作业试验。试验结果表明,在3种试验场地中,按照规划航向作业的航程比试验组按照其他6个航向作业的航程短,航程比其他航向的航程最大可分别缩短4.920、6.903、59.913 km;且多余覆盖率均为最小,多余覆盖率最小分别为2.08%、7.17%、0.57%。作业面积越大,规划航向作业的航程缩短越明显,多余覆盖率越小,并且规则地形航线规划的多余覆盖率明显小于不规则地形。所提出的航空施药全覆盖航线规划算法,可为航空施药航线规划技术的发展提供理论支撑,为实际施药作业提供指导。 | 刘洋洋 茹煜 刘彬 陈旭阳 | 2020 | 农业工程学报2020，36，17： | 4 |
| 3 | Research advances of the drift reducing technologies in application of agricultural aviation spraying显示文摘With the gradual deterioration of the ecological environment and the increase in requirements for the quality of modern life,the use of pesticides is bound to develop towards higher pesticide utilization and less environmental pollution,and the low-volume spraying for agricultural aviation operation combined with the Drift Reducing Technologies(DRTs)may be a useful way to achieve this goal.Based on an analysis of the spray drift mechanism and the primary factors influencing aerial spraying,previous research on DRTs in aerial spraying were reviewed and summarized,and it was found that DRTs in aerial spraying can effectively reduce the environmental pollution caused by pesticide drift by reducing the spraying amount of pesticides and improving the control effect of pesticides,included aerial electrostatic spray technology,aerial spray adjuvant,aerial air-assisted spray technology,drift reducing nozzles and aerial variable-rate spray technology.And according to the analysis of the current research status,some suggestions and countermeasures to reduce droplet drift of agricultural aviation spraying were put forward from the aspects of strengthening the research on DRTs for plant protection Unmanned Aerial Vehicle(UAV)and adopting reasonable DRTs methods.It is hoped that provide reference and guidance for the enterprises’product improvement and users’practical operation,and play the advantages of precision agricultural aviation spraying fully. | Shengde Chen Yubin Lan Zhiyan Zhou Xiaoling Deng Juan Wang | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 2 |
| 4 | Y型棚架式果园的3WZ-300风送喷雾机设计与试验显示文摘【目的】针对Y型棚架式果树的需风特性设计一款风送喷雾机,探究机具对此树形的施药规律,为新式果园栽植工艺的植保机具设计提供参考。【方法】结合棚架梨树Y型树冠需风特性,设计一款异形导风管,确定发散型射流口,喷雾范围可全面覆盖冠层,并进行整机配置,风机使用无级调速带轮进行调速。以作业速度、出口风速、出风口与冠层中部高度差作为试验参数,以靶标雾滴覆盖率、靶标雾滴沉积量以及地面雾滴沉积量作为评价指标,设计田间试验。利用Design-Expert软件建立响应曲面分析参数对指标的影响,并对机具作业参数进行优化。【结果】优化结果表明:3WZ-300风送喷雾机在作业速度0.8 m/s、出口风速22 m/s、出风口中部与梨树冠层中部高度差为5.1 cm时,靶标雾滴覆盖率为39.79%,靶标雾滴沉积量为9.89μL/cm^(2),地面雾滴沉积量为5.41μL/cm^(2),有效附着药液占比60.1%。【结论】该喷雾机满足果园作业要求,施药效果较好,为棚架式果园喷雾机的设计及机具参数优化提供了参考。 | 王杰 邱威 丁为民 张镇涛 闻桢杰 苏永喜 | 2021 | 华南农业大学学报2021，42，6： | 1 |
| 5 | Effects of plant protection UAV-based spraying on the vertical distribution of droplet deposition on Japonica rice plants in Northeast China显示文摘In order to study the regularity of the vertical distribution of droplet deposition on rice plants during pesticide spraying operated by a low-flying multi-rotor plant protection unmanned aviation vehicle(UAV),water-sensitive spray cards were placed on the leaves at the top,in the middle,and at the bottom of rice plants to acquire data on droplet deposition.In this study,a suspension containing tricylazole and hexaconazole was used in the spraying.The water-sensitive spray cards were analyzed by the droplet deposition processing software iDAS to obtain the vertical distribution of the droplets sprayed by the plant protection UAV.The results showed that (1)significant variation was found in the coverage of the droplets in different vertical positions of the rice plants.Within the effective spray width,the best coverage of the droplets was found in the area just below the rotors,whereas the coverage of areas farther away from the rotors was poor.For the different vertical positions of the rice plants,the overall droplet coverage was 58.38%at the top,33.55%in the middle,and 11.34%at the bottom of the plants;(2)for all vertical positions,the average size of the droplets ranged between 110μm and 140μm,which was suitable for the control of plant diseases and insect pests.The highest droplet density was found at the top of the plants,and the distribution of the droplet density was similar in the middle and at the bottom of the rice plants;(3)the diffusion ratio at the top of the rice plants(0.84)was better than that in the middle(0.57)and at the bottom(0.37).The overall relative span could meet the requirements for the actual application.Except for the position in the middle of the plants,the relative span for the other positions of the plants was over 0.67,which is the standard value.This study demonstrated the distribution regularity of droplet deposition along with the vertical direction of rice plants during UAV-based spraying,which is of guiding significance for the use of UAVs in plant protection,the improvement of chemical utilization efficiency,and the reduction of pesticide and fertilizer pollution. | Yingli Cao Fenghua Yu Tongyu Xu Wen Du Zhonghui Guo Haiyan Zhang | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 1 |
| 6 | Development of droplet characteristics prediction models for air induction nozzles based on wind tunnel tests显示文摘Nozzle flowrate and spray pressure are two of the most important factors influencing on droplet characteristics.With the aim to develop prediction models for air-induction nozzles(AINs),a series of Billericay Farm Services(BFS)AINs with different orifice diameters in combination with tap water were tested.0.2 MPa,0.3 MPa,0.4 MPa,0.5 MPa,0.6 MPa and 0.7 MPa of spray pressures and 2 m/s,3 m/s,4 m/s and 5 m/s of air speeds were setup.Based on the wind tunnel tests data,prediction models with input variables of nozzle flowrate and spray pressure and output variables of D_(v0.1),D_(v0.5),D_(v0.9),%<150μm(proportion of spray volume contained in droplets with diameter below 150μm),relative span(RS)and coefficient of variation(CV)of D_(v0.5) were developed.The developed models were validated based on wind tunnel experimental data.Results showed that:for D_(v0.1),D_(v0.5),D_(v0.9) and%<150μm,R^(2) were equal to 0.768,0.823,0.868 and 0.811,indicating that the predictive ability for these four parameters is strong.For RS and CV,R^(2) were equal to 0.100 and 0.113,respectively,indicating that the predictive ability for these two parameters is poor.The models developed in the present study are helpful for facilitating the use of AIN in agricultural spray application. | Juan Liao Andrew John Hewitt Pei Wang Xiwen Luo Ying Zang Zhiyan Zhou Yubin Lan Chris O’Donnell | 2019 | International Journal of Agricultural and Biological Engineering2019，12，6： | 0 |
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