基于无人机航摄技术在土地整治项目中的应用研究     

赵彤 《现代农业科技》2019,(21)

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。  相似文献   

Aerial seed germination and morphological characteristics of juvenile seedlings in Commelina benghalensis L.     

MITSUHIRO MATSUO  HIDEKI MICHINAGA  HIROYUKI TERAO  EIJI TSUZUKI 《Weed Biology and Management》2004,4(3):148-153

Seed germination, seedling emergence, and the morphological characteristics of juvenile seedlings of Commelina benghalensis L. were observed. For aerial seeds collected in September and October, seedling emergence peaked in April and June for large seeds and from June to August for small seeds, whereas seedling emergence for large seeds collected in November showed peaks in March and April under natural rainfall conditions, and in April and June under irrigation conditions. Seedlings from small seeds emerged intermittently over a longer period from April to August under both conditions. Aerial seeds of C. benghalensis germinated on wet filter paper on the second day after seeding (DAS) for large seeds and the fourth DAS for small seeds. The germination percentage for large seeds was higher than that for small seeds by the 14th DAS. The germination percentage for large aerial seeds showed no significant difference between light and dark conditions. However, the percentage for small aerial seeds was higher under light than under dark conditions. Seedlings from large aerial seeds emerged on the third DAS at 0–50 mm soil depths. The percentage of emergence at 0 and 1 mm soil depths increased until the 30th DAS, whereas those at soil depths of 5–50 mm showed no change after the 9th DAS. There was no emergence at a soil depth of 100 mm. Seedlings from small aerial seeds emerged on the 6th DAS at 0–1 mm soil depths, with the percentage increasing until the 30th DAS. Although seedlings at 5 and 10 mm soil depths also emerged on the 6th DAS, there was no change in the percentage after the 12th DAS. There was no emergence at soil depths of 20–100 mm. The hypocotyl and taenia (part of the cotyledon connected to the seed) in juvenile seedlings that emerged from soil depths of 50 mm were longer than those in seedlings emerging from a soil depth of 1 mm.  相似文献   

Evaluation of the pattern of spray released from a moving multicopter     

Illia Chyrva  Mark Jermy  Tara Strand  Brian Richardson 《Pest management science》2023,79(4):1483-1499

BACKGROUND

Multicopters are used for releasing particulates seeds, fertilizer and spray. Their low cost and high manoeuvrability make them attractive for spraying in steep terrain and areas where overspray is undesirable. This article describes a model of multicopter wake and its influence on particulate dispersion, which is computationally economical compared to many computational fluid dynamics (CFD) approaches, yet retains reasonable accuracy.

RESULTS

A model was successfully implemented in OpenFOAM . It features source terms for the rotor wash, Lagrangian particle tracking, an evaporation model, and a porous medium approach to model the effect of the ground vegetation. Predictions were validated against the field tests of Richardson et al. which used a DJI Agras MG-1 multicopter in three different flights with airspeeds of 3.2–4.9 m s⁻¹, ground speeds of 2.1–2.9 m s⁻¹ and cross-wind speeds of 0.04–2.2 m s⁻¹. The effective swath width (30% line separation) was predicted to within one standard deviation. Sensitivity to a rotor rotational speed, flight height, flight velocity, multicopter roll and yaw angles, surface roughness length, plant height and leaf density was checked.

CONCLUSION

In all flight trials, the modelled swath was closest to the experimentally obtained swath when the surface roughness of the fetch was equal to 0.5 m (bushes) and the rotational speed of all rotors was equal to 2475 rpm with 0.75R (0.2 m) tall plant canopy (grass) introduced to the model. The model showed acceptable validity for flight velocities of ≤2.8–5 m s⁻¹ when flight parameters can be approximately estimated. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.  相似文献   

基于迁移学习的无人机影像耕地信息提取方法   总被引：7，自引：0，他引：7  

鲁恒  付萧  贺一楠  李龙国  庄文化  刘铁刚 《农业机械学报》2015,46(12):274-279284

随着精准农业技术的发展,对农作物用地信息快速、准确提取的需求越来越高。同时,无人机技术以其方便、高效、具有低空云下飞行能力等优势被广泛应用于自然资源的调查中。但无人机影像普遍光谱信息较为匮乏,因此很难准确、快速地提取出耕地信息。基于此,提出了一种利用迁移学习机制的耕地提取方法(TLCLE)。首先,利用深度卷积神经网络(DCNN)剔除线状地物(道路、田埂等),然后,通过引入迁移学习机制将DCNN特征训练过程中得到的特征提取方法迁移到耕地提取中,最后,将所提方法与利用易康(e Cognition)软件进行耕地提取(ECLE)结果进行对比。研究结果表明:对于实验影像1、2,TLCLE方法耕地提取总体精度分别为91.9%、88.1%,ECLE方法总体精度分别为90.3%、88.3%,2种方法提取精度相当,在保证耕地地块完整、连续性上TLCLE方法优于ECLE方法。  相似文献   

草甘膦、草铵膦喷施对槟榔根系形态及生理的影响     

杨国斌  陈才志  温欣宇  陈晖  甘霆  杨福孙 《中国果业信息》2024,53(1)

除草剂防除杂草的同时会给非靶标作物带来药害,频繁使用除草剂的海南槟榔园叶片黄化症状更加明显,我们推测除草剂可能导致槟榔根系退化,从而引起叶片黄化。本试验以幼龄期槟榔与成龄期槟榔为研究对象,测定草甘膦和草铵膦使用后槟榔根系生长发育形态与相关生理指标。结果表明：（1）在幼龄期槟榔根系中,主要以直径为0～1.5mm的根为主要根系结构,数量上占到总根的88%以上,表面积占到了总根的68%以上。草甘膦和草铵膦喷施显著降低了槟榔幼苗根系鲜重、干物质积累量,白色吸收根的比例、吸收根活力。（2）在成龄期槟榔气生根中,喷施草甘膦和草铵膦均引起气生根药剂残留,且农残随施用浓度增加而变高;喷施草甘膦和草铵膦,阻碍了槟榔气生根发育。草甘膦处理第14天后气生根死亡数达到最大,而草铵膦处理第28天后达到最大。（3）草铵膦损害了气生根组织结构,使新根内皮层排列稀疏,表皮组织厚度增加,木栓化程度加深,导致根表皮细胞大量死亡,抑制了气生根伸长与增粗。上述研究结果表明草甘膦和草铵膦通过木栓化加速根系死亡调控槟榔根系生长与发育。  相似文献   

Application method affects pesticide efficiency and effectiveness in wheat fields     

Jinjing Xiao  Li Chen  Fan Pan  Yajing Deng  Chenchun Ding  Min Liao  Xianyan Su  Haiqun Cao 《Pest management science》2020,76(4):1256-1264

  相似文献   

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

J Rasmussen  J Nielsen 《Weed Research》2020,60(2):150-160

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.  相似文献   

浑善达克沙地飞播区不同恢复阶段植物群落结构动态变化     

慕宗杰  刘果厚  桂荣  苏海林  李红颖  刘利红  曹瑞  姜莹  王亚东 《华中农业大学学报》2020,39(4):46-56

为研究浑善达克沙地飞播区不同恢复阶段植物群落结构动态变化,揭示飞播后浑善达克沙地植被恢复的特点和变化规律,于2013—2017年在浑善达克沙地11个飞播区进行了植被调查试验,并从功能型角度出发,结合对应分析、关联度分析以及Mann-Kendall趋势分析等数据分析方法探讨了飞播区植被恢复的阶段性以及各功能型植物在群落中的地位和作用。结果显示:浑善达克沙地飞播区19 a恢复时间共分为3个恢复阶段,且飞播后,伴随恢复时间的推移,乔木、灌木半灌木、多年生杂类草、一/二年生杂类草、多年生豆科牧草、多年生禾草、一/二年生禾草7个功能型植物间的相互依赖程度逐渐减弱;随着恢复年限的增加,群落的稳定性逐渐增大。不同恢复阶段,植被恢复的主导功能型并不唯一,可在不同阶段进行适时管理,从而使植物群落的演替阶段和整体发展趋势更有利于退化沙地的植被恢复与重建。  相似文献   

基于无人机多光谱遥感的冬小麦叶绿素含量反演及监测   总被引：2，自引：2，他引：0  

奚雪  赵庚星 《中国农学通报》2020,36(20):119-126

旨在实现冬小麦各生育期叶绿素含量的准确估测,探究其时空变化规律。利用无人机获取冬小麦越冬期、返青期、拔节期、孕穗期和灌浆期的高分辨率多光谱图像,同时采集地面SPAD数据。选取三类光谱参数建立反演模型,优选出各生育期的最佳预测模型,并定量监测试验区冬小麦叶绿素含量时间变化和空间分布。结果表明：原始波段模型和波段倒数对数模型分别为越冬期及其他生育期叶绿素含量预测的最佳模型,拟合精度R²>0.59;时空分布上,灌浆期前试验区冬小麦叶绿素含量呈南北高、中部低特点,灌浆期则呈北高南低的趋势,叶绿素含量从越冬期到拔节期逐步增加,拔节期到孕穗期开始降低,孕穗期到灌浆期则大幅度降低。本研究建立的倒数对数预测模型,精度较高,且适用于返青到灌浆的4个生育期,对于试验区冬小麦叶绿素含量有较好的时空监测效果。  相似文献   

基于DOM航空影像单木树冠提取     

赵勋  岳彩荣  李春干  谷雷  张国飞 《西北林学院学报》2020,35(2):160-168

准确提取单木树冠边界是获取森林数量参数的重要基础,是高分辨率遥感图像林业应用的技术难题。基于DOM航空影像数据源,采用面向对象的方法对研究区内的2个树种的林分进行了单木树冠边界提取研究。首先利用桉树和杉木的空间分布矢量数据对DOM航空影像进行掩膜处理,在掩膜区域内进行多层次多尺度图像分割得到初步树冠分割结果,并剔除非树冠信息;再以树冠信息种子对象为基础,使用区域增长算法对树冠信息种子对象增长得到单木树冠范围;最后使用形态学滤波的方法优化单木树冠边界,完成林区内桉树和杉木两类树种的单木树冠边界提取。结果表明,由于不同树种的树冠存在尺度和形态差异,进行单木树冠分割时需要设置不同的参数才能到达较好的分割效果。本研究中桉树和杉木的单木树冠提取总体精度分别为86.75%与89.21%,可满足林业部门获取森林单木树冠的精度需求。  相似文献