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| 1 | Development and prospect of unmanned aerial vehicle technologies for agricultural production management显示文摘Unmanned aerial vehicles have been developed and applied to support agricultural production management.Compared with piloted aircraft,an Unmanned Aerial Vehicle(UAV)can focus on small crop fields at lower flight altitudes than regular aircraft to perform site-specific farm management with higher precision.They can also“fill in the gap”in locations where fixed winged or rotary winged aircraft are not readily available.In agriculture,UAVs have primarily been developed and used for remote sensing and application of crop production and protection materials.Application of fertilizers and chemicals is frequently needed at specific times and locations for site-specific management.Routine monitoring of crop plant health is often required at very high resolution for accurate site-specific management as well.This paper presents an overview of research involving the development of UAV technology for agricultural production management.Technologies,systems and methods are examined and studied.The limitations of current UAVs for agricultural production management are discussed,as well as future needs and suggestions for development and application of the UAV technologies in agricultural production management. | Yanbo Huang Steven J.Thomson W.Clint Hoffmann Yubin Lan Bradley K.Fritz | 2013 | International Journal of Agricultural and Biological Engineering2013，6，3： | 22 |
| 2 | Agricultural remote sensing big data:Management and applications显示文摘Big data with its vast volume and complexity is increasingly concerned, developed and used for all professions and trades. Remote sensing, as one of the sources for big data, is generating earth-observation data and analysis results daily from the platforms of satellites, manned/unmanned aircrafts, and ground-based structures. Agricultural remote sensing is one of the backbone technologies for precision agriculture, which considers within-field variability for site-specific management instead of uniform management as in traditional agriculture. The key of agricultural remote sensing is, with global positioning data and geographic information, to produce spatially-varied data for subsequent precision agricultural operations. Agricultural remote sensing data, as general remote sensing data, have all characteristics of big data. The acquisition, processing, storage, analysis and visualization of agricultural remote sensing big data are critical to the success of precision agriculture. This paper overviews available remote sensing data resources, recent development of technologies for remote sensing big data management, and remote sensing data processing and management for precision agriculture. A five-layer-fifteenlevel(FLFL) satellite remote sensing data management structure is described and adapted to create a more appropriate four-layer-twelve-level(FLTL) remote sensing data management structure for management and applications of agricultural remote sensing big data for precision agriculture where the sensors are typically on high-resolution satellites, manned aircrafts, unmanned aerial vehicles and ground-based structures. The FLTL structure is the management and application framework of agricultural remote sensing big data for precision agriculture and local farm studies, which outlooks the future coordination of remote sensing big data management and applications at local regional and farm scale. | Yanbo Huang CHEN Zhong-xin YU Tao HUANG Xiang-zhi GU Xing-fa | 2018 | Journal of Integrative Agriculture2018，17，9： | 18 |
| 3 | A New Optimal Hatch Filter to Minimize the Effects of Ionosphere Gradients for GBAS显示文摘At present,the main problem faced by ground-based augment system (GBAS) is that though carrier smoothing filter and local dif-ferential global positioning system (LDGPS) improve the accuracy of the pseudorange by reducing the noise in it and eliminating almost all the common errors between the user and the reference station,they also cause extra errors on account of the effects of the ionosphere temporal and spatial gradients.Based on the analysis of these errors as well as the smoothing noise,this article suggests a new algorithm to design the optimal Hatch filter,whose smoothing window width varies real-time with the satellite elevation,ionosphere variation,and distance from the user to the reference station.By conducting the positioning process in the GBAS emulation platform for several hours and after its comparison with the performances of traditional Hatch filters,it is found that the errors in the differential correction become smaller and the positioning accuracy gets heightened with this new method. | Huang Zhenggang Huang Zhigang Zhu Yanbo | 2008 | Chinese Journal of Aeronautics2008，21，6： | 16 |
| 4 | Characterization of spray deposition and drift from a low drift nozzle for aerial application at different application altitudes显示文摘A complex interaction of controllable and uncontrollable factors is involved in aerial application of crop production and protection materials.Although it is difficult to completely characterize spray deposition and drift,these important factors can be estimated with appropriate sampling protocol and analysis.Application height is an important variable influencing off-target spray drift,but this variable has not been easily measured or logged.A custom-configured aircraft-mounted laser with logging capabilities makes this possible.This study was designed to investigate droplet size and deposition characteristics of a low drift CP flat-fan nozzle at application altitudes 3.7 m,4.9 m,and 6.1 m.In the study,CP flat-fan nozzles were set to a downward angle of 30 degrees applying a mixture of water,Syl-Tac®adjuvant,and Rubidium Chloride(RbCl)tracer at a 28.5 L/ha application rate.Spray droplets were collected using water sensitive paper(WSP)cards placed in the spray swath.Mylar sheets were also placed in the swath and downwind for drift sampling.Statistical analysis indicated that median droplet diameter as determined by WSP in the spray swath was not significantly influenced by spray application height.Similarly,statistical analysis also indicated that concentration of RbCl tracer from Mylar samplers in the spray swath was not significantly influenced by application height.Application height had a significant effect on spray deposition from drift samplers,along with wind direction and relative humidity.Final results for drift samplers may have been influenced by shifts in wind direction that altered the relationship between orientation of samplers and wind. | Yanbo Huang Steven J.Thomson | 2011 | International Journal of Agricultural and Biological Engineering2011，4，4： | 16 |
| 5 | Multispectral imaging systems for airborne remote sensing to support agricultural production management显示文摘This study investigated three different types of multispectral imaging systems for airborne remote sensing to support management in agricultural application and production.The three systems have been used in agricultural studies.They range from low-cost to relatively high-cost,manually operated to automated,multispectral composite imaging with a single camera and integrated imaging with custom-mounting of separate cameras.Practical issues regarding use of the imaging systems were described and discussed.The low-cost system,due to band saturation,slow imaging speed and poor image quality,is more preferable to slower moving platforms that can fly close to the ground,such as unmanned autonomous helicopters,but not recommended for low or high altitude aerial remote sensing on fixed-wing aircraft.With the restriction on payload unmanned autonomous helicopters are not recommended for high-cost systems because they are typically heavy and difficult to mount.The system with intermediate cost works well for low altitude aerial remote sensing on fixed-wing aircraft with field shapefile-based global positioning triggering.This system also works well for high altitude aerial remote sensing on fixed-wing aircraft with global positioning triggering or manually operated.The custom-built system is recommended for high altitude aerial remote sensing on fixed-wing aircraft with waypoint global positioning triggering or manually operated. | Yanbo Huang Steven J.Thomson Yubin Lan Stephan J.Maas | 2010 | International Journal of Agricultural and Biological Engineering2010，3，1： | 12 |
| 6 | H5N1 influenza virus-specific miRNA-like small RNA increases cytokine production and mouse mortality via targeting poly(rC)-binding protein 2显示文摘H5N1 流行性感冒病毒的感染在所有流行性感冒病毒之中引起最高的死亡。位于如此的高病毒的致病力下面的机制不完全地被理解。这里,我们报导 H5N1 流行性感冒病毒编码象 microRNA 一样小 RNA, miR-HA-3p,它从茎被处理由 Argonaute 2 的包含环的病毒的 RNA 先锋,和戏在在 H5N1 感染期间提高 cytokine 生产的一个角色。miR-HA-3p poly 指向的机械学的学习表演(rC ) 有约束力的蛋白质 2 (PCBP2 ) 并且压制它的表达式。与 PCBP2 being 一致 RIG-I/MAVS-mediated 抗病毒的天生的免疫的一个重要否定管理者,由 miR-HA-3p 的 PCBP2 表示的抑制在感染 H5N1 的人的巨噬细胞和老鼠支持 cytokine 生产病毒。我们断定 miR-HA-3p 是首先识别的流行性感冒编码病毒的象 microRNA 一样功能的 RNA 碎片和贡献导致 H5N1 的 cytokine 暴风雨和死亡的一个新奇毒力因素。 | Xihan Li Zheng Fu Hongwei Liang Yanbo Wang Xian Qi Meng Ding Xinlei Sun Zhen Zhou Ying Huang Hongwei Gu Limin Li Xi Chen Donghai Li Quan Zhao Fenyong Li Hua Wang Jin Wang Ke Zen Chen-Yu Zhang | 2018 | Cell Research2018，28，2： | 12 |
| 7 | Application of in vitro and in vivo models in the study of food allergy显示文摘Food allergy is one of the most important food safety problems that has attracted increasing attention.The food allergy experimental models provide not only the accurate allergen detection and evaluation methods but also the powerful approaches for mechanism investigations.In this paper,we reviewed the common food allergy cell models including mast cell,basophil granulocyte and basophil,as well as the animal models of BALB/c mouse,C3H/HeJ mouse,and BN rat.We also introduced zebrafish,a promising model organism for investigating immunity though lacking direct applications in food allergy to date,and focused on traumatic inflammation,bacterial infection and viral infection models.In addition,we also summarized the clinical diagnostic research methods for food allergy.The elucidation of these topics will help researchers to understand the characteristics and mechanisms of various models and thus select the proper models for particular study,so as to support further investigations of food allergy. | Jianjian Huang Changjun Liu Yanbo Wang Chong Wang Menghua Xie Yi Qian Linglin Fu | 2018 | Food Science and Human Wellness2018，7，4： | 7 |
| 8 | Point-of-Interest Recommendation in LocationBased Social Networks with Personalized Geo-Social Influence显示文摘Point-of-interest(POI) recommendation is a popular topic on location-based social networks(LBSNs).Geographical proximity,known as a unique feature of LBSNs,significantly affects user check-in behavior.However,most of prior studies characterize the geographical influence based on a universal or personalized distribution of geographic distance,leading to unsatisfactory recommendation results.In this paper,the personalized geographical influence in a two-dimensional geographical space is modeled using the data field method,and we propose a semi-supervised probabilistic model based on a factor graph model to integrate different factors such as the geographical influence.Moreover,a distributed learning algorithm is used to scale up our method to large-scale data sets.Experimental results based on the data sets from Foursquare and Gowalla show that our method outperforms other competing POI recommendation techniques. | HUANG Liwei MA Yutao LIU Yanbo | 2015 | China Communications2015，12，12： | 6 |
| 9 | Development and evaluation of low-altitude remote sensing systems for crop production management显示文摘Precision agriculture accounts for within-field variability for targeted treatment rather than uniform treatment of an entire field.It is built on agricultural mechanization and state-of-the-art technologies of geographical information systems(GIS),global positioning systems(GPS)and remote sensing,and is used to monitor soil,crop growth,weed infestation,insects,diseases,and water status in farm fields to provide data and information to guide agricultural management practices.Precision agriculture began with mapping of crop fields at different scales to support agricultural planning and decision making.With the development of variable-rate technology,precision agriculture focuses more on tactical actions in controlling variable-rate seeding,fertilizer and pesticide application,and irrigation in real-time or within the crop season instead of mapping a field in one crop season to make decisions for the next crop season.With the development of aerial variable-rate systems,low-altitude airborne systems can provide high-resolution data for prescription variable-rate operations.Airborne systems for multispectral imaging using a number of imaging sensors(cameras)were developed.Unmanned aerial vehicles(UAVs)provide a unique platform for remote sensing of crop fields at slow speeds and low-altitudes,and they are efficient and more flexible than manned agricultural airplanes,which often cannot provide images at both low altitude and low speed for capture of high-quality images.UAVs are also more universal in their applicability than agricultural aircraft since the latter are used only in specific regions.This study presents the low-altitude remote sensing systems developed for detection of crop stress caused by multiple factors.UAVs,as a special platform,were discussed for crop sensing based on the researchers'studies. | Yanbo Huang Steven J.Thomson Howard J.Brand Krishna N.Reddy | 2016 | International Journal of Agricultural and Biological Engineering2016，9，4： | 5 |
| 10 | Locomotor activity and anxiety status, but not spatial working memory,are affected in mice after brief exposure to cuprizone显示文摘Chronic long-term exposure to cuprizone causes severe brain demyelination in mice,which leads to changes in locomotion,working memory and anxiety.These findings suggest the importance of intact myelin for these behaviors.This study aimed to investigate the possible behavioral changes in mice with mild oligodendrocyte/myelin damage that parallels the white matter changes seen in the brains of patients with psychiatric disporders.We used the cuprizonetreated mouse model to test both tissue changes and behavioral functions(locomotor activity,anxiety status,and spatial working memory).The results showed that mice given cuprizone in their diet for 7 days had no significant myelin breakdown as evaluated by immunohistochemical staining for myelin basic protein,while the number of mature oligodendrocytes was reduced.The number and length of Caspr protein clusters,a structural marker of the node of Ranvier,did not change.The locomotor activity of the cuprizonetreated mice increased whereas their anxiety levels were lower than in normal controls;spatial working memory,however,did not change.These results,for the first time,link emotion-related behavior with mild white matter damage in cuprizone-treated mice. | Handi Zhang Yanbo Zhang Haiyun Xu Lingyan Wang Jinsong Zhao Junhui Wang Zhijun Zhang Qingrong Tan Jiming Kong Qingjun Huang Xin-Min Li | 2013 | Neuroscience Bulletin2013，29，5： | 4 |
| 11 | A Teosinte-derived Allele of a MYB Transcription Repressor Confers Multiple Disease Resistance in Maize.显示文摘Natural alleles controlling multiple disease resistances (MDR) are valuable for crop breeding. However, only one MDR gene have been cloned in maize, and molecular mechanisms of MDR are not clear. By map-based cloning, we have cloned a teosinte-derived allele of a resistance gene, Mexicana lesion mimic 1 (ZmMM1), which has a lesion mimic phenotype and confers resistance to northern leaf blight (NLB), gray leaf spot (GLS) and southern corn rust (SCR). Strong MDR conferred by the teosinte allele is linked with the polymorphisms in the 3' untranslated region of the ZmMM1 gene that cause increased accumulation of ZmMM1 protein. ZmMM1 acts as a transcription repressor and negatively regulates transcription of specific target genes including ZmMM1-target gene 3 (ZmMT3), which functions as a negative regulator of plant immunity and associated cell death. The successful isolation of the ZmMM1 resistance gene will help not only in developing broad-spectrum and durable disease resistance but also in understanding the molecular mechanisms underlying MDR. | Hongze Wang Jiabao Hou Pei Ye Long Hu Junshi Huang Zhikang Dai Bao Zhang Sha Dai Jiamin Que Haoxuan Min Gengshen Chen Yanbo Wang Min Jiang Yan Liang Lin Li Xuecai Zhang Zhibing Lai | 2021 | Molecular Plant2021，14，11： | 4 |
| 12 | Geological and surfacial processes and major disaster effects in the Yellow River Basin显示文摘The Yellow River Basin(YRB) is characterized by active geological and tectonic processes, rapid geomorphological evolution, and distinct climatic diversity. Correspondingly, major disasters in the YRB are characterized by varied types,extensive distributions, and sudden occurrences. In addition, major disasters in the YRB usually evolve into disaster chains that cause severe consequences. Therefore, major disasters in the YRB destroy ecologies and environments and influence geological and ecological safety in the basin. This paper systematically reviews research on geological and surface processes, major disaster effects, and risk mitigation in the YRB, discusses the trends and challenges of relevant research, analyzes the key scientific problems that need to be solved, and suggests prospects for future research based on the earth system science concept. Themes of research that should be focused on include geological, surface and climatic processes in the YRB and their interlinking disaster gestation mechanisms;formation mechanisms and disaster chain evolutions of giant landslides in the upper reach of the YRB;mechanisms and disaster chain effects of loess water-soil disasters in the middle reach of the YRB;occurrence patterns and amplifying effects of giant flood chains in the lower reach of the YRB;and risk mitigations of major disasters in the YRB. Key scientific problems that need to be solved are as follows: how to reveal the geological, surface and climatic processes that are coupled and interlinked with gestation mechanisms of major disasters;how to clarify the mutual feedback effects between major disasters and ecology;and how to develop a human-environmental harmony-based integrated risk mitigation system for major disasters. Prospects for future studies that follow the earth system science concept include the following: highlighting interdisciplinary research to reveal the interlinked disaster gestation mechanisms of the geology, surface and climate in the YRB in the past, present, and future;forming theories to clarify the regional patterns, dynamic mechanisms, and mutual-feedback effects between disaster chains and ecology in the YRB on land and in rivers in the region;solving technological bottlenecks to develop assessment models and mitigation theories for integrated risks in the YRB by following the human-environment harmony concept;and finally, establishing a demonstratable application pattern characterized by 'whole-basin coverage' and 'zonal controls', thereby guaranteeing ecological and geological safety in the basin and providing scientific support for ecological conservation and high-quality development of the YRB. | Hengxing LAN Jianbing PENG Yanbo ZHU Langping LI Baotian PAN Qiangbing HUANG Junhua LI Qiang ZHANG | 2022 | Science China Earth Sciences2022，65，2： | 4 |
| 13 | Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield显示文摘Agricultural drought threatens food security.Numerous remote-sensing drought indices have been developed,but their different principles,assumptions and physical quantities make it necessary to compare their suitability for drought monitoring over large areas.Here,we analyzed the performance of three typical remote sensing-based drought indices for monitoring agricultural drought in two major agricultural production regions in Shaanxi and Henan provinces,northern China(predominantly rain-fed and irrigated agriculture,respectively):vegetation health index(VHI),temperature vegetation dryness index(TVDI)and drought severity index(DSI).We compared the agreement between these indices and the standardized precipitation index(SPI),soil moisture,winter wheat yield and National Meteorological Drought Monitoring(NMDM)maps.On average,DSI outperformed the other indices,with stronger correlations with SPI and soil moisture.DSI also corresponded better with soil moisture and NMDM maps.The jointing and grain-filling stages of winter wheat are more sensitive to water stress,indicating that winter wheat required more water during these stages.Moreover,the correlations between the drought indices and SPI,soil moisture,and winter wheat yield were generally stronger in Shaanxi province than in Henan province,suggesting that remote-sensing drought indices provide more accurate predictions of the impacts of drought in predominantly rain-fed agricultural areas. | Jianxi Huang Wen Zhuo Ying Li Ran Huang Fernando Sedano Wei Su Jinwei Dong Liyan Tian Yanbo Huang Dehai Zhu Xiaodong Zhang | 2020 | International Journal of Digital Earth2020，13，4： | 4 |
| 14 | Portable device to assess dynamic accuracy of global positioning system(GPS)receivers used in agricultural aircraft显示文摘A device was designed to test the dynamic accuracy of Global Positioning System(GPS)receivers used in agricultural aircraft and other aerial vehicles.The system works by directing a sun-reflected light beam from the ground to the aircraft using mirrors.A photo detector points downward from the aircraft to detect the light beam,and photo detection circuitry triggers an event in the guidance system data file at the aircraft’s location corresponding to the precisely georeferenced position on the ground.Construction details are presented on the mirror-based light reflection system and photo-electronic circuitry designed to trigger an event in the guidance system’s log file.An example application evaluated the horizontal accuracy of a stand-alone GPS receiver by matching dynamic data with data from the aircraft’s guidance system.Results indicated a 2.16 s lead in position registered by the stand-alone receiver over that registered by the aircraft’s guidance system GPS receiver,which had been previously evaluated to be within 0.13 s of Real-Time Kinematic(RTK)-referenced time and position. | Steven J.Thomson Yanbo Huang Lowrey A.Smith | 2014 | International Journal of Agricultural and Biological Engineering2014，7，2： | 4 |
| 15 | Ground-based hyperspectral remote sensing for weed management in crop production显示文摘Agricultural remote sensing has been developed and applied in monitoring soil,crop growth,weed infestation,insects,diseases and water status in farm fields to provide data and information to guide agricultural management practices.Precision agriculture has been implemented through prescription mapping of crop fields at different scales with the data remotely sensed from space-borne,airborne and ground-based platforms.Ground-based remote sensing techniques offer portability,flexibility and controllability in applications for precision agriculture.In weed management,crop injury from off-target herbicide spray drift and herbicide resistance in weeds are two important issues.For precision weed management,ground-based hyperspectral remote sensing techniques were developed for detection of crop injury from dicamba and differentiation between glyphosate resistant and sensitive weeds.This research presents the techniques for ground-based hyperspectral remote sensing for these two applications.Results illustrate the advantages of ground-based hyperspectral remote sensing for precision weed management. | Yanbo Huang Matthew A.Lee Steven J.Thomson Krishna N.Reddy | 2016 | International Journal of Agricultural and Biological Engineering2016，9，2： | 3 |
| 16 | Estimation of cotton yield with varied irrigation and nitrogen treatments using aerial multispectral imagery显示文摘Cotton yield varies spatially within a field.The variability can be caused by various production inputs such as soil properties,water management,and fertilizer application.Airborne multispectral imaging is capable of providing data and information to study effects of the inputs on yield qualitatively and quantitatively in a timely and cost-effective fashion.A 10-ha cotton field with irrigation and non-irrigation 2×2 blocks was used in this study.Six nitrogen application treatments were randomized with two replications within each block.As plant canopy was closed,airborne multispectral images of the field were acquired using a 3-CCD MS4100 camera.The images were processed to generate various vegetation indices.The vegetation indices were evaluated for the best performance to characterize yield.The effect of irrigation on vegetation indices was significant.Models for yield estimation were developed and verified by comparing the estimated and actual yields.Results indicated that ratio of vegetation index(RVI)had a close relationship with yield(R^(2)=0.47).Better yield estimation could be obtained using a model with RVI and soil electrical conductivity(EC)measurements of the field as explanatory variables(R^(2)=0.53).This research demonstrates the capability of aerial multispectral remote sensing in estimating cotton yield variation and considering soil properties and nitrogen. | Yanbo Huang Ruixiu Sui Steven J.Thomson Daniel K.Fisher | 2013 | International Journal of Agricultural and Biological Engineering2013，6，2： | 3 |
| 17 | Current status and future directions of precision aerial application for site-specific crop management in the USA显示文摘 | Yubin Lan Steven J. Thomson Yanbo Huang W. Clint Hoffmann Huihui Zhang | 2010 | Computers and Electronics in Agriculture2010，，1： | 2 |
| 18 | Network analysis using organizational risk analyzer显示文摘The tool system of the organizational risk analyzer (ORA) to study the network of East Turkistan terrorists is selected. The model of the relationships among its personnel, knowledge, resources and task entities is represented by the meta-matrix in ORA, with which to analyze the risks and vulnerabilities of organizational structure quantitatively, and obtain the last vulnerabilities and risks of the organization. Case study in this system shows that it should be a shortcut to destroy effectively the network of terrorists by recognizing the caucus persons of the terrorism organization for the first and eliminating them when strikes the terror organization. It is vital to ensure effective use of the resources and control the risks of terrorist attacks. | Chen, Xiaodong Li, Jianfeng Huang, Yanbo | 2008 | Journal of Southeast University(English Edition)2008，24，S1： | 2 |
| 19 | Analysis of vegetation indices derived from aerial multispectral and ground hyperspectral data显示文摘Aerial multispectral images are a good source of crop,soil,and ground coverage information.Spectral reflectance indices provide a useful tool for monitoring crop growing status.A series of aerial images were obtained by an airborne MS4100 multispectral imaging system on the cotton and soybean field.Ground hyperspectral data were acquired with a ground-based integration system at the same time.The Normalized Difference Vegetative Index(NDVI),Simple Ratio(SR),and Soil Adjusted Vegetation Index(SAVI)calculated from both systems were analyzed and compared.The information derived from aerial multispectral images has shown the potential to monitor the general growth status of crop field.The vegetation indices derived from both systems were significantly different(p-value was 0.073 atα=0.1 level)at the early growing stage of crops.The correlation coefficients of the image NDVI and ground NDVI were 0.3029 for soybean field and 0.338 for cotton field.SAVI and SR were not correlated. | Huihui Zhang Yubin Lan Ronald Lacey W.C.Hoffmann Yanbo Huang | 2009 | International Journal of Agricultural and Biological Engineering2009，2，3： | 2 |
| 20 | Characterizing downwind drift deposition of aerially applied glyphosate using RbCl as tracer显示文摘Rubidium chloride(RbCl)was used as a tracer tank-mixed with active ingredients to profile downwind deposition of aerially applied crop protection and production materials to characterize off-target drift,which helps improve spray efficiency and reduce environmental contamination.Mylar sheets were placed on a holder in the field at each sampling station to collect sprayed solution.RbCl tracer was used to assess downwind drift of nozzles mounted on the booms installed and controlled on both sides of an agricultural airplane.The experiment was conducted on a field covered by Bermuda grass(Cynodon dactylon).During the experiment,the airplane was planned to fly three passes with three replications at each of three different altitudes,3.7 m,4.9 m,and 6.1 m for total of 27 flight runs.The results indicated that sampling station location had a significant effect on RbCl concentration.However,application release altitude was not significant to the change of RbCl.Another practical application in the same aerial application system was used to assess crop injury from the off-target drift of aerially applied glyphosate.RbCl concentrations measured from Mylar sheets were correlated with visual injury,plant height,shoot dry weight,leaf chlorophyll content,and shikimate,which were measured from the leaves and plant samples collected.Overall,RbCl is an effective tracer for monitoring spray applications from agricultural aircraft and unmanned aerial vehicles to intensify agriculture output and minimize environmental impact. | Yanbo Huang Claudiane M.Ouellet-Plamondon Steven J.Thomson Krishna N.Reddy | 2017 | International Journal of Agricultural and Biological Engineering2017，10，3： | 2 |
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