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Dianwang Jishu/Power System Technology 2025年第1期49卷 232-241页

作者： Xu, Hao Jia, Longwen Liu, Zhicheng Xu, Jian huang, yanbo Liao, Siyang Central China Branch of State Grid Corporation of China Hubei Province Wuhan 430077 China School of Electrical Engineering and Automation Wuhan University Hubei Province Wuhan 430072 China

As multiple levels of electricity markets become intertwined and coupled across different time scales, regional power grids, while serving as hubs for trading channels, also face a series of operational risks, such as network congestion and ensuring security and reliability of supply. In response to the supply security scenario under market-oriented models, based on the analysis of intra-provincial transmission section blocking, an optimization method for inter-regional and inter-provincial power supply capability in the electricity spot market is proposed. Firstly, based on the correlation model of inter-provincial trading channels, inter-provincial physical interconnections, and intra-provincial transmission sections, the mechanism of intra-provincial network congestion formation is analyzed. Secondly, the Gradient Boosting Decision Tree algorithm predicts intra-provincial transmission section blocking, identifying critical sections that form the boundary for electricity purchases in the spot market. Finally, to maximize electricity purchases through inter-regional channels while considering constraints on DC power injection stability, the power supply capability of the target province is optimized. The proposed method is validated by analyzing it based on actual provincial networks. © 2025 Power System Technology Press. All rights reserved.

关键词： Power markets

Research status and applications of nature-inspired algorithms for agri-food production

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International Journal of Agricultural and Biological Engineering 2020年第4期13卷 1-9页

作者： yanbo huang USDA-ARS Crop Production Systems Research Unit StonevilleMS 38776USA

Nature-inspired algorithms have been developed with biological *** learning algorithms from artificial neurons and artificial neural networks have been developed to mimic the human brain with synthetic *** research can be traced back to the 1940s and has been expanded to agri-food problem solving in the last three ***,the research and applications have entered the stage of deep learning with more layers and neurons that have complex connections to extract deep features of the *** this paper,the developments of artificial neural networks and deep learning algorithms are presented and discussed in conjunction with their biological connections for agri-food *** related independent studies previously conducted by the author are summarized with the newly conducted being *** the same time,the algorithms motivated by recent bionics studies are compared and discussed for their potentials for agri-food production.

关键词： nature-inspired algorithm agri-food production machine learning deep learning artificial neural networks artificial intelligence

Identification of seedling cabbages and weeds using hyperspectral imaging

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International Journal of Agricultural and Biological Engineering 2015年第5期8卷 65-72,I0004页

作者： Deng Wei yanbo huang Zhao Chunjiang Wang Xiu Beijing Research Center of Intelligent Equipment for Agriculture Beijing Academy of Agriculture and Forestry ScienceBeijing 100097China United States Department of Agriculture Agricultural Research ServiceCrop Production Systems Research UnitStonevilleMississippiUSA National Research Center of Intelligent Equipment for Agriculture Beijing 100097China Key Laboratory of Agri-informatics Ministry of AgricultureBeijing 100097China Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture Beijing 100097China

Target detection is one of research focuses for precision chemical *** study developed a method to identify seedling cabbages and weeds using hyperspectral *** processing the image data with ENVI software,after dimension reduction,noise reduction,de-correlation for high-dimensional data,and selection of the region of interest,the SAM(Spectral Angle Mapping)model was built for automatic identification of cabbages and *** the HSI(Hyper Spectral Imaging)Analyzer,the training pixels were used to calculate the average spectrum as the standard *** parameters of the SAM model,which had the best classification results with 3-point smoothing,zero-order derivative,and 6-degrees spectral angle,was determined to achieve the accurate identification of the background,weeds,and *** comparison,the SAM model can completely separate the plants from the soil background but not perfect for weeds to be separated from the *** conclusion,the SAM classification model with the HSI analyzer could completely distinguish weeds from background and cabbages.

关键词： hyperspectral imaging weed identification cabbage seedlings

Agri-BIGDATA:A smart pathway for crop nitrogen inputs

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Artificial Intelligence in Agriculture 2020年第1期4卷 150-152页

作者： Guijun Yang yanbo huang Chunjiang Zhao Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture Beijing Research Center for Information Technology in AgricultureBeijingChina National Engineering Research Center for Information Technology in Agriculture BeijingChina Crop Production Systems Research Unit United States Department of Agriculture-Agricultural Research ServiceStonevilleMSUnited States

Big data provide a pathway to lower crop nitrogen inputs from genetic breeding to field ***,multidisciplinary efforts from plant health sensing,deep machine learning and cloud computing can integrate multi-source data to form information and *** big data analysis as a prospective optimal method,will make leaps towards addressing future issues of sustainable agriculture.

关键词： Big data Smart farming Nitrogen requirement

Network analysis using organizational risk analyzer

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Journal of Southeast University(English Edition) 2008年第S1期24卷 104-108页

作者： Chen, Xiaodong Li, Jianfeng huang, yanbo College of Economic and Management University of Science and Technology Beijing Beijing 100083 China College of Environmental Science and Technology Nankai University Tianjin 300071 China Engineering College Sun Yat-Sen University Guangzhou 510006 China

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.

关键词： dynamic network analysis meta-matrix organization risk

Developing a modeling tool for flow profiling in irrigation distribution networks

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International Journal of Agricultural and Biological Engineering 2009年第3期2卷 17-26页

作者： yanbo huang Guy Fipps Application and Production Technology Research Unit US Department of AgricultureAgricultural Research Service(USDA-ARS)StonevilleMS 38776USA Department of Biological and Agricultural Engineering Texas A&M UniversityCollege StationTX 77843USA

Efforts are underway to rehabilitate the irrigation districts,such as in the Rio Grande Basin in *** distribution network models are needed to help prioritize and analyze various rehabilitation options,as well as to scientifically quantify irrigation water demands,usages,and losses,and to help manage gate ***,commercially available software packages were limited in applications due to their high cost and operational *** study aims to develop a modeling tool for modeling the water flow profile in irrigation distribution *** goal of developing the modeling tool was to make the modeling process simple,fast,reliable and *** the basis of methodological study,the modeling tool has been developed for branching canal networks with the assumption of steady gradually varied *** flow profile calculation of the tool was verified from a single channel with 1%root mean squared error compared to the benchmark calculation and a branching network with 5%to 12%relative errors compared to check point measurement along the *** developed modeling tool will be able to play an important role in water quantification for planning,analysis and development for modernization of irrigation systems.

关键词： irrigation distribution network modeling tool flow profiling

Portable device to assess dynamic accuracy of global positioning system(GPS)receivers used in agricultural aircraft

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International Journal of Agricultural and Biological Engineering 2014年第2期7卷 68-74页

作者： Steven J.Thomson yanbo huang Lowrey A.Smith United States Department of Agriculture(USDA) Agricultural Research Service(ARS)Crop Production Systems Research UnitStonevilleMS 38776USA

A device was designed to test the dynamic accuracy of Global Positioning System(GPS)receivers used in agricultural aircraft and other aerial *** 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 *** 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 *** example application evaluated the horizontal accuracy of a stand-alone GPS receiver by matching dynamic data with data from the aircraft’s guidance *** 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.

关键词： GPS receiver accuracy agricultural aircraft aerial application remote sensing georeferencing UAV

Spatial distribution visualization of PWM continuous variable-rate spray

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International Journal of Agricultural and Biological Engineering 2013年第4期6卷 1-8页

作者： Deng Wei yanbo huang Zhao Chunjiang Wang Xiu Liu Jinlong Beijing Research Center of Intelligent Equipment for Agriculture Beijing Academy of Agriculture and forestry ScienceBeijing 100097China United States Department of Agriculture Agricultural Research ServiceCrop Production Systems Research UnitStonevilleMississippiUSA Baoding Radio and TV University Baoding 071000China

Pesticide application is a dynamic spatial distribution process,in which spray liquid should be able to cover the targets with desired thickness and ***,it is important to study the 2-D and 3-D(dimensional)spray distribution to evaluate spraying *** curve-surface generation methods in Excel were used to establish 1-D,2-D,and 3-D graphics of variable-rate spray distribution in order to characterize the space distribution of the variable-rate *** 1-D,2-D,and 3-D distribution graphs of Pulse-Width Modulation(PWM)-based continuous variable-rate spray were developed to provide a tool to analyze the distribution characteristics of the *** 1-D graph showed that the spray distribution concentrated toward the center of the spray field with the decreased *** 2-D graph showed that the spray distribution always spread as the shape of Normal Probability Distribution with the change of the *** 3-D graph showed that the spray distribution tended to be uniform when the sprayer travelled forward at the appropriate *** study indicated that the visualization method could be directly used for analysis and comparison of different variable-rate spray distributions from different experimental conditions and measuring methods.

关键词： spray distribution pulse width modulation(PWM) variable-rate spray distribution visualization

Agricultural remote sensing big data:Management and applications

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Journal of Integrative Agriculture 2018年第9期17卷 1915-1931页

作者： yanbo huang CHEN Zhong-xin YU Tao huang Xiang-zhi GU Xing-fa Crop Production Systems Research Unit Agricultural Research Service United States Department of Agriculture Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences

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-fifteen- level （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.

关键词： big data remote sensing agricultural information precision agriculture

Characterization of spray deposition and drift from a low drift nozzle for aerial application at different application altitudes

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International Journal of Agricultural and Biological Engineering 2011年第4期4卷 28-33页

作者： yanbo huang Steven J.Thomson US Department of Agriculture Agricultural Research ServiceCrop Production Systems Research UnitStonevilleMS 38776USA

A complex interaction of controllable and uncontrollable factors is involved in aerial application of crop production and protection *** it is difficult to completely characterize spray deposition and drift,these important factors can be estimated with appropriate sampling protocol and *** 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 *** 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 *** 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 *** droplets were collected using water sensitive paper(WSP)cards placed in the spray *** sheets were also placed in the swath and downwind for drift *** analysis indicated that median droplet diameter as determined by WSP in the spray swath was not significantly influenced by spray application ***,statistical analysis also indicated that concentration of RbCl tracer from Mylar samplers in the spray swath was not significantly influenced by application *** height had a significant effect on spray deposition from drift samplers,along with wind direction and relative *** results for drift samplers may have been influenced by shifts in wind direction that altered the relationship between orientation of samplers and wind.

关键词： deposition spray nozzle aerial application droplet spectra spray drift