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Impact of the relationship for the development and exchange of agricultural engineering professionals between the U.S. and China

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International Journal of Agricultural and Biological Engineering 2009年第3期2卷 83-85页

作者： yubin lan Department of Biological and Agricultural Engineering Texas A&M UniversityCollege StationTX 77843

The United States of America and the People’s Republic of China established a formal diplomatic relationship almost thirty years ***,this year marks the thirtieth anniversary of the beginning of economic reform in *** is also coincidentally the thirty-year anniversary of my freshman year at Jilin University of Technology in China.I have been blessed during my lifetime because of the friendly and mutually beneficial relationship between the *** *** we all know,the world has a large population to feed,and thus there is a large reliance on the sustainable development of *** professions of Agricultural and Biological Engineering are at the forefront of many of the key issues facing humanity *** such as generating energy,maintaining environmental quality,and feeding a growing world population weigh on many people’s *** order to come up with the appropriate solutions to the issues facing our world today,the continued cooperation between the *** China is invaluable.

关键词： Impact continued today

Using an Electronic Nose to Rapidly Assess Grandlure Content in Boll Weevil Pheromone Lures

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Journal of Bionic Engineering 2011年第4期8卷 449-454页

作者： Charles P.-C. Suh Ningye Ding yubin lan USDA-ARS Areawide Pest Management Research Unit College Station TX 77845 USA College of Engineering Northeast Agriculture University Harbin 150030 P. R. China

Samples of pheromone lures used in boll weevil, Anthonomus grandis （Boheman）, eradication programs are routinely analyzed by Gas Chromatography （GC） to ensure lures are adequately dosed with grandlure, the synthetic aggregation phero- mone produced by male weevils. However, preparation of GC samples is tedious, time consuming, and requires a moderate level of experience. We examined the use of a commercially-available electronic nose （e-nose） for rapidly assessing the grandlure contents of lures. The e-nose was trained to recognize headspace collections of grandlure emitted from new lures and after lures were aged under field conditions for 4 d, 7 d, 10 d, and 14 d. Based on cross-validation of the training set, the e-nose was 82% accurate in discriminating among the different age classes of lures. Upon sampling headspace collections of pheromone from a different set of field-aged lures, the e-nose was 〈50% accurate in discriminating 4 d, 7 d, and 10 d aged lures from the other age classes of lures. However, the e-nose identified new and 14 d aged lure samples with 100% accuracy. In light of these findings, e-nose technology shows considerable promise as an alternative approach for rapidly assessing the initial grandlure contents of lures used in boll weevil eradication programs.

关键词： electronic nose Cyranose 320 boll weevil grandlure pheromone lure

Current status and future trends of precision agricultural aviation technologies

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International Journal of Agricultural and Biological Engineering 2017年第3期10卷 1-17页

作者： yubin lan Chen Shengde Bradley K Fritz College of Engineering South China Agricultural University/National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology(NPAAC)Guangzhou 510642China Department of Biological and Agricultural Engineering Texas A&M UniversityCollege StationTX 77845USA Texas A&M AgriLife Research and Extension Center BeaumontTX 77713USA United States Department of Agriculture(USDA) Agricultural Research Service(ARS)Aerial Application Technology Research UnitCollege StationTexas77845USA

Modern technologies and information tools can be used to maximize agricultural aviation productivity allowing for precision application of agrochemical *** paper reviews and summarizes the state-of-the-art in precision agricultural aviation technology highlighting remote sensing,aerial spraying and ground verification ***,the authors forecast the future of precision agricultural aviation technology with key development directions in precision agricultural aviation technologies,such as real-time image processing,variable-rate spraying,multi-sensor data fusion and RTK differential positioning,and other supporting technologies for UAV-based aerial *** review is expected to provide references for peers by summarizing the history and achievements,and encourage further development of precision agricultural aviation technologies.

关键词： precision agricultural aviation technology remote sensing aerial spraying UAV pesticide ground verification

Performance characterization on downwash flow and spray drift of multirotor unmanned agricultural aircraft system based on CFD

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International Journal of Agricultural and Biological Engineering 2022年第3期15卷 1-8页

作者： Hongze Li Hang Zhu Zihao Jiang yubin lan School of Mechanical and Aerospace Engineering Jilin UniversityChangchun 130022China School of Agricultural Engineering and Food Science Shandong University of TechnologyZibo 255000ShandongChina Department of Biological and Agricultural Engineering Texas A&M UniversityTexas77843USA

In recent years,multi-rotor Unmanned Aerial Vehicles(UAVs)have been employed in the field of plant protection in *** drift has been considered a major impact in agriculture aerial spraying,and spray quality in the application of plant protection *** downwash including wake vortices and downward wind field plays a major role in the dispersal and deposition of pesticide spray released by nozzle(s)equipped in *** from the fixed-wing UAV,the downwash flow of multi-rotor UAV was result from the rotation of ***,a study on off-target drift and ground deposit concerning the rotor rotation was simulated through a series of Computational Fluid Dynamics(CFD)simulations to obtain the influence of *** discrete Phase Model(DPM)was taken to simulate the motion of droplet particles since it is an appropriate way to simulate discrete phases in flow field and can track particle *** this study,the parameters of CFD simulations were acquired by three kinds of actual replicated *** simulation analysis mainly obtains the droplet drift and deposition rule,the influence of eddy current,and downwash flow caused by the rotor *** results showed that the downwash distribution below different rotors was different owing to the flight angle of inclination,“behind”is the greatest,“middle”is secondly,and“forward”is smallest in value(behind,middle,and forward represent three regions below rotors along flight direction).According to the simulation results,two methods of reducing droplet drift were put forward and specific simulations were carried out to prove their *** results of this study can provide theoretical support for improving the spray quality of UAV and reducing the drift of droplets.

关键词： Unmanned Aerial Vehicles spray drift downward wind field rotor rotation eddy current downwash distribution

Evaluation of grapevine sucker segmentation algorithms for precision targeted spray

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International Journal of Agricultural and Biological Engineering 2015年第4期8卷 77-85,I0002页

作者： Xu Shasha Li Wenbin Kang Feng Zheng Yongjun lan yubin School of Technology Beijing Forestry UniversityBeijing 100083China College of Engineering China Agricultural UniversityBeijing 100083China College of Engineering South China Agricultural UniversityGuangzhou 510642China

Chemical sucker control has been proven to be an effective substitute for manual and mechanical *** and location of suckers is the key technology of precision targeted spray which can reduce spray volume than current spray *** goal of this research was to develop a quick and effective segmentation algorithm of sucker images for real-time mobile targeted spray by evaluating and comparing seven segmentation algorithms categorized into segmentation based on color feature(ExG,ExGExR,and CIVE),K-means clustering segmentation in CIE L*a*b*space(K-Lab),and mean shift clustering segmentation based on color feature(ExG-MS,ExGExR-MS,and CIVE-MS)from time consuming and *** results indicated that ExGExR and CIVE took shorter time than other algorithms,and were more suitable for real-time *** further evaluating segmentation accuracy,ExGExR,CIVE,and mean shift algorithms were acceptable to kill *** ExGExR was the best algorithm for sucker segmentation in consideration of time consuming and accuracy,next came CIVE.

关键词： grapevine suckers image segmentation color feature K-means mean shift

Engine universal characteristic modeling based on improved ant colony optimization

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International Journal of Agricultural and Biological Engineering 2015年第5期8卷 26-35页

作者： Chen Fuen Jiang Shihui Xie Xin Chen Longhan lan yubin School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA College of Engineering South China Agricultural UniversityGuangzhou 510642China

There have been some mathematics methods to model farm vehicle engine universal characteristic mapping(EUCM).Nevertheless,any of different mathematics methods used would possess its own strengths and *** a result,these modeling methods about EUCM are not the same among the most vehicle *** order to obtain a better robustness EUCM,an improved ant colony optimization was introduced into a traditional cubic surface regression method for modeling *** on this method,the test data were regressed into a three-dimensional cubic surface,after that it was cut by some equal specific fuel consumption(ESFC)planes,more than twenty two-dimensional ESFC equations were ***,the engine speed in every ESFC equation was discretized to obtain a set of ESFC points,and this set of ESFC points was linked into a closed curve by a given sequence via the improved ant colony *** order to improve the modeling speed,dimensionality reduction and discretization methods were *** addition,a corresponding simulation platform was also developed to obtain an optimal system *** were 48000 simulation search tests carried out on the platform,and the major parameters of the algorithm were *** this way the EUCM was established *** contrast with other methods,as a result of the application of the novel bionic intelligent algorithm,it has better robustness,less distortion and higher calculating speed,and it is available for both gasoline engines and diesel engines.

关键词： engines universal characteristics improved ant colony algorithm genetic algorithm cubic surface regression

Drift and deposition of ultra-low altitude and low volume application in paddy field

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International Journal of Agricultural and Biological Engineering 2014年第4期7卷 23-28页

作者： Xue Xinyu Tu Kang Qin Weicai yubin lan Huihui Zhang Nanjing Agricultural University Nanjing 210014China Nanjing Research Institute for Agricultural Mechanization Ministry of AgricultureNanjing 210014China South China Agricultural University Guangzhou 510642China USDA-ARS Fort CollinsCA 80526USA

Field trials were performed to evaluate various techniques for measuring spray deposition and aerial drift during spray application to paddy *** application of a spraying agent containing the fluorescent dye Rhodamine-B was applied by an unmanned aerial vehicle(UAV)which flew at a height of 5 m,a speed of 3 m/s,and the wind speed of 3 m/*** results showed that because the downdraft produced by a helicopter rotor increased the penetrability of crops,there is a higher deposition on the upper layer and the under layer than the traditional *** average deposition on the upper layer accounts for 28% of the total spraying,the deposition on the under layer accounts for 26% of the total *** deposition on the under layer takes up 92.8% of the deposition on the upper *** drift data showed that the drift of non-target area took up 12.9% of the total liquid *** 90% drifting droplets were located within a range of 8 m of the target area;the drift quantity was almost zero at a distance of 50 m away from the treated area.

关键词： paddy field ultra-low altitude low volume UAV droplet drift deposition

Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning

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Plant Phenomics 2023年第4期5卷 852-863页

作者： Haibo Chen Shengbo Liu Congyue Wang Chaofeng Wang Kangye Gong Yuanhong Li yubin lan Experimental Basis and Practical Training Center South China Agricultural UniversityGuangzhouChina National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology GuangzhouChina College of Electronics Engineering(College of Artificial Intelligence) South China Agricultural UniversityGuangzhouChina College of Engineering South China Agricultural UniversityGuangzhouChina Department of Biological and Agricultural Engineering Texas A&M UniversityCollege StationTXUnited States

The utilization of 3-dimensional point cloud technology for non-invasive measurement of plant phenotypic parameters can furnish important data for plant breeding,agricultural production,and diverse research ***,the utilization of depth sensors and other tools for capturing plant point clouds often results in missing and incomplete data due to the limitations of 2.5D imaging features and leaf *** drawback obstructed the accurate extraction of phenotypic ***,this study presented a solution for incomplete flowering Chinese Cabbage point clouds using Point Fractal Network-based *** study performed experiments on flowering Chinese Cabbage by constructing a point cloud dataset of their leaves and training the *** findings demonstrated that our network is stable and robust,as it can effectively complete diverse leaf point cloud morphologies,missing ratios,and multi-missing scenarios.A novel framework is presented for 3D plant reconstruction using a single-view RGB-D(Red,Green,Blue and Depth)*** method leveraged deep learning to complete localized incomplete leaf point clouds acquired by RGB-D cameras under occlusion ***,the extracted leaf area parameters,based on triangular mesh,were compared with the measured *** outcomes revealed that prior to the point cloud completion,the R^(2)value of the flowering Chinese Cabbage's estimated leaf area(in comparison to the standard reference value)was *** root mean square error(RMSE)was 15.88 cm^(2),and the average relative error was 22.11%.However,post-completion,the estimated value of leaf area witnessed a significant improvement,with an R^(2)of 0.9637,an RMSE of 6.79 cm^(2),and average relative error of 8.82%.The accuracy of estimating the phenotypic parameters has been enhanced significantly,enabling efficient retrieval of such *** development offers a fresh perspective for non-destructive identification of plant p

关键词： Deep incomplete Plant

Natural UAV tele-operation for agricultural application by using Kinect sensor

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International Journal of Agricultural and Biological Engineering 2018年第4期11卷 173-178页

作者： Xuanchun Yin yubin lan Sheng Wen Jiantao Zhang Shifan Wu College of Engineering South China Agricultural UniversityGuangzhou 510642China National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology Guangzhou 510642China International Laboratory of Agricultural Aviation Applied Technology Guangzhou 510642China Eengineering fundamental Teaching and Trainer Center South China Agricultural UniversityGuangzhou 510642China College of Mathematics and Informatics South China Agricultural UniversityGuangzhou 510642China

Remote-controlled(RC)unmanned aerial vehicles(UAVs)have been extensively applied in agricultural areas,such as remote sensing,precise spraying pesticides for crop protection,agricultural situation inspection and so on,but these telemanipulated UAVs systems are operated entirely by a ground-based pilot with a need of eyes focus on the remote site UAV *** key issue existed in agricultural UAV teleoperation area is a longtime training *** this paper,a novel natural UAV teleoperation control system in agricultural application was *** UAV teleoperation scenario,human operator gestures measured by using Kinect sensor can be used as control commands for UAV ***,some UAV teleoperation control commands related to human hand gestures were defined,which is similar to the radio gymnastic exercises in ***,gesture recognition-based UAV teleoperation control is easy to learn and *** addition,a new real time human hand gesture recognition algorithm was *** stability of UAV flight dynamic of roll,pitch and yaw as well as attitude control were verified with the experiments based on the proposed *** last,the usability and effectiveness of the proposed method has been verified by the experimental results.

关键词： gesture recognition human pose estimation depth image skeleton tracking teleoperation unmanned aerial vehicle(UAV)