基于无人机航摄技术在土地整治项目中的应用研究

针对传统土地整治项目施工监管、后期监测效率不高的问题,本文通过低空无人机航摄和PhotoScan软件后期处理,对比生成的正射影像图和Google earth卫星图的分辨率和位置,发现该影像图能精准、高效的表征项目区影像数据变化,从而得到一种可用于土地整治项目各阶段动态观测的简单、快捷方法。     

直播稻田无人机全程防治病虫草害初探

针对不同设备设计不同喷液量,飞行参数验证防治效果,从而验证无人机在稻田全程应用的可能性,旨在探索2种小型多旋翼植保无人机低空喷洒在整个水稻生长时期病虫草害防治过程中的防效。结果表明:当喷洒水田封闭式除草剂的喷洒量为10650、15000 mL/hm²,其对杂草的株防效与鲜重防效与人工电动喷雾相近。在病虫害的防治试验中,使用推荐用量且喷洒量为10650、15000 mL/hm²时,以及使用70%推荐用量（减量30%）且喷洒量为15000 mL/hm²时,防治效果均与人工电动喷雾器无显著差异。通过验证,选择合适的药剂,配合科学的喷洒参数,可在保证药效的前提下减少农药使用量。多旋翼植保无人机在水稻田有进行大面积全程飞防植保应用有广阔的前景。     

Quantification of flight times of aerial treatments targeting invasive species: the interplay of helicopter or drone with bait-delivery systems,flight speed and bait form

BACKGROUND

Aerial treatments for invasive species management are now common, but we are unaware of any work published in the scientific literature quantifying how the interplay of numerous factors affects flight time and therefore operational costs. Here, we analyse aerial treatment data collected from two ant-eradication programmes, quantifying how the relationships between flight time and area are influenced by numerous aircraft/delivery system/bait/flight speed combinations.

RESULTS

For bait dispersal by helicopters, and when swath widths are equivalent, side-mounted Isolair was significantly more efficient than the simultaneous use of two underslung buckets, and use of two buckets was slightly but not significantly more efficient than one bucket. In this scenario, delivery by Isolair was, on average, 39.8% and 31.5% more efficient than the use of one or two buckets, respectively. However, when the swath width used with Isolair was halved to 10 m and flight speed was increased slightly, flight time was significantly greater compared to the other configurations. For bait dispersed by drone, flights conducted using an upgraded Flight Management System (FMS) and greater flight speed but smaller swath width were significantly more efficient than flights using the older FMS and lower flight speed. Over 10 and 50 ha the helicopter was 2.87 and 4.82 times more time efficient than the drone.

CONCLUSION

We encourage practitioners to publish data from their aerial treatments, and to try new methods, to accelerate improvements in efficiency and reduce the costs of aerial treatments. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

Challenges and opportunities of unmanned aerial vehicles as a new tool for crop pest control

The application of pesticides is not simply delivering chemicals to the target area. It also involves considering the negative aspects and developing strategies to deal with them during the application process, to ensure the maximization of pesticides use efficiency and the maintenance of the ecosystem. Unmanned aerial vehicle (UAV) sprayers demonstrate unique advantages compared to traditional ground sprayers, particularly in terms of maneuverability and labor intensity reduction, showed great potential for chemical application in pest control. It is undeniable that there exist challenges in the practice of UAV spraying, such as higher potential risks of pesticide drift or pathogen transmission, uncertainty canopy deposition for different crops, and unexpected leaf breakage induced by downwash flow. Maximizing the utilization of downwash flow while avoiding lateral air movement outside the intended target crop area is a major issue for chemical application with UAV sprayers, particularly in light of the increasingly apparent consensus on the need for enhanced environmental protection during the chemical application process. It must be considered that the operation strategy in different scenarios and for different crop targets is not the same, unique requirements should be given on nozzle atomization, flight parameters, adjuvants and aircraft types in specific working situations. In future, the implementation of spray drift prediction, technical procedures development, and other solutions aimed at reducing pesticide drift and improving deposition quality, is expected to promote the adoption of UAV sprayers by more farmers. © 2023 Society of Chemical Industry.     

植保无人飞机不同施药模式对Y形梨树雾滴沉积分布研究

为了研究油动单旋翼植保无人飞机采用“行间飞”和“Y间飞”2种飞行施药模式对Y形梨园进行喷雾作业后雾滴在Y形梨树冠层中的沉积分布规律,以30 g/L的诱惑红85水溶液为喷雾剂,铜版纸为雾滴收集卡,设计了4种不同作业速度梯度对Y形梨树喷雾效果试验,研究对比了不同飞行速度条件下2种飞行施药模式的雾滴沉积分布情况。试验结果表明：采用“行间飞”飞行施药模式喷雾时,雾滴在Y形梨树主枝外部的沉积密度高于在内部的沉积密度雾滴,且飞行速度为2 m/s和3 m/s时的沉积密度比飞行速度为4 m/s和5 m/s的沉积密度显著偏高。“Y间飞”飞行施药模式下雾滴在Y形梨树冠层不同位置的雾滴沉积分布更均匀。在风速小于1.3 m/s的微风条件下,当使用油动单旋翼植保无人飞机以距离Y形梨树冠层顶部2 m的高度喷雾作业时,应当采用“Y间飞”飞行施药模式,同时飞行速度以2?3 m/s为宜,此时雾滴的沉积密度在冠层内部和外部均大于15个/cm2。研究结果可以为使用植保无人飞机防控梨园病虫害提供喷雾技术依据。     

基于无人机多光谱遥感的冬小麦冠层叶绿素含量估测研究

为探讨利用无人机多光谱影像监测冬小麦叶绿素含量的可行性,基于北京市大兴区中国水科院试验基地的2019年冬小麦无人机多光谱影像和田间实测冠层叶绿素含量数据,选取16种光谱植被指数,确定对冬小麦冠层叶绿素含量显著相关的植被指数,采用一元二次线性回归和逐步回归分析方法建立各生育时期及全生育期的SPAD值估测模型,通过精度检验确定对冬小麦冠层叶绿素含量监测的最优模型。结果表明,两种分析方法中逐步回归建模效果最佳。拔节期选取4个植被指数(MSR、CARI、NGBDI、TVI)建模效果最好,模型率定的决定系数(r~2)为0.73,模型验证的r~2、相对误差(RE)和均方根误差(RMSE)分别为0.63、2.83%、1.68;抽穗期选取3个植被指数(GNDVI、GOSAVI、CARI)建模效果最好,模型率定的r~2为0.81,模型验证的r~2、RE、RMSE分别为0.63、2.83%、1.68;灌浆期选取2个植被指数(MSR、NGBDI)建模效果最好,模型率定的r~2为0.67,模型验证的r~2、RE、RMSE分别为0.65、2.83%、1.88。因此,无人机多光谱影像结合逐步回归模型可以很好地监测冬小麦SPAD值动态变化。     

A novel approach to estimating the competitive ability of Cirsium arvense in cereals using unmanned aerial vehicle imagery

Eight experiments were carried out in Denmark to determine the yield loss of spring barley due to Cirsium arvense in farmers' fields and to suggest and evaluate a novel approach for quantifying C. arvense infestation in large plots. Literature about the competitive ability of C. arvense is old, scattered and inconclusive, and existing models for estimating crop yield loss are based on data from North America. This study showed that C. arvense coverage could be quantified from unmanned aerial vehicle imagery using a manual image analysis procedure. This gave similar results as scoring the coverage. Yield loss of spring barley due to C. arvense infestation assessed at harvest was given by Y = 100·(1−exp(−0.00170·X)) where Y is the percentage of crop yield loss and X is the percentage of C. arvense coverage. The yield loss was much lower than estimates from models that have been developed in North America. It is speculated that the main reason for this is the later emergence of C. arvense than the crop due to lower soil temperatures in spring. Grain moisture increased linearly with C. arvense coverage: M = 0.0310·X where M is the proportional (%) increase in grain moisture and X is the proportion (%) of C. arvense coverage. Automated image analysis procedures are needed to estimate C. arvense coverage on field scales, and further experiments are needed to reveal whether the low competitive ability of C. arvense found in this study is representative for Northern Europe.     

基于无人机高光谱遥感的柑橘患病植株分类与特征波段提取

目的 结合传统与现代农业病虫害监测的优缺点,探索通过无人机高光谱遥感技术检测出患病的柑橘植株、通过人工田间调查方式判断其患病种类及患病程度的病虫害监测方法。方法 使用无人机获取原始高光谱图像,经过光谱预处理和特征工程后,采用连续投影算法提取对柑橘患病植株分类贡献值最大的特征波长组合,基于全波段使用BP神经网络和XgBoost算法、基于特征波段使用逻辑回归和支持向量机算法,建立分类模型。结果 基于全波段的BP神经网络和XgBoost算法的ROC曲线下面积(Area under curve,AUC)分别为0.883 0和0.912 0,分类准确率均超过95%;提取出698和762 nm的特征波长组合,基于特征波长使用逻辑回归和支持向量机算法建立的分类模型召回率分别达到了93.00%和96.00%。结论 基于特征波长建模在患病样本分类中表现出很高的准确率,证明了特征波长组合的有效性。本研究结果可为柑橘种植园的病虫害监测提供一定的数据和理论支撑。     

基于无人机遥感的棉花主要生育时期地上生物量估算及验证

利用棉花主要生育时期的无人机近红外影像数据,提取4种不同的植被指数,通过与棉花地上生物量的实测值建立拟合关系,分析了不同植被指数在棉花各生育时期的估算效果并对其进行了验证。结果表明,随棉花生长,归一化植被指数（NDVI）、宽动态植被指数（WDRVI）、比值植被指数（RVI）和差值植被指数（DVI）均从苗期开始显著增加,其后则表现为基本稳定的“饱和”现象,但棉花实测生物量在不同生育期均有显著差异。植被指数与棉花实测生物量的拟合结果显示：NDVI和DVI的二元线性拟合模型对苗期生物量拟合效果最佳（R²=0.84,RMSE=0.13 kg·m^-2）;WDRVI和DVI的二元线性拟合模型对花蕾期生物量拟合效果最佳（R²=0.87,RMSE=0.52 kg·m^-2）;RVI的非线性拟合模型对花铃期生物量拟合效果最佳（R²=0.79,RMSE=0.95 kg·m^-2）;WDRVI和RVI的二元线性拟合模型对盛铃期生物量的拟合效果最佳（R²=0.86,RMSE=0.96 kg·m^-2）。     

自然保护地巡护道路设计中几个主要指标的确定

自然保护地原则上按核心区和一般管控区实行分区管控.各类保护地巡护道路设计体系目前没有相关设计规范.文章对保护地内巡护道路的等级、平纵设计指标、横断面指标的确定需考虑的因素进行分析,提出了相应的设计指标和参数,以期对后续巡护道路设计提供参考.