智能对靶喷雾机软件系统设计与集成研究
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摘要
本文通过对国内外农药使用、植保机械和软件工程应用等技术发展现状的分析研究,提出了基于构件化的智能对靶喷雾机软件系统。在研究过程中将软件体系结构、复用技术、系统集成技术应用于智能对靶喷雾机的软件控制系统中,以实现面向构件化与模块化的软件系统,使智能对靶喷雾机达到精确施药的目的。
在研究过程中运用软件工程领域对智能对靶喷雾系统进行了系统整体设计,通过应用特定软件体系结构技术,以构件化的方式将软件系统按功能划分为图像采集构件、图像处理构件和控制执行构件,并设计和实现不同的构件完成整个软件系统的功能,最后将划分的构件进行系统集成,形成完整的软件系统。
在图像采集模块中运用双目视觉技术对施药目标进行了深度信息的提取与测量;在图像处理模块中将图像拼接与图像分割技术进行融合,并且提高了图像处理速度;在控制执行模块中,对智能对靶喷雾机的控制方法进行了研究;最后完成系统的集成工作,使智能对靶喷雾形成一个完整的系统,且对喷雾效果进行了试验验证。
本文研究的目的是要找到更合理有效的方法对软件系统进行资源的整合,使软件系统能更好地满足智能对靶喷雾机的需要,让智能对靶喷雾领域内的软件开发和维护变得简单高效。
The development of pesticide, application technique, plant protection machinery and software engineering applications both at home and abroad ware analyzed. A software system for the intelligent toward-target sprayer was put forward based on components. The software system architecture, software reuse, system integration technology ware used in the control system software of the intelligent toward-target sprayer in order to realize component-oriented and modular software system, so that the intelligent toward-target sprayer can achieve the purpose of precision application.
The overall system design of the intelligent toward-target spraying systems was completed through the field of software engineering. Through the application of domain-specific software architecture techniques, the functions of the software system could be divided into image acquisition components, image processing components and control implementation components according to the component-oriented approach. Then the functions of the software system could be achieved through designing and realizing the different components were integrated and complete software system was formed.
In the video image acquisition module, a dual-CCD camera using in the image acquisition system was studied. In the image processing module, the threshold segmentation on the application of the image information acquisition was studied according to the characteristics of the trees. In the implementation control module, the methods of intelligent control for intelligent toward-target sprayer were studied. In the system integration process, the integration of the hardware and software systems of intelligent toward-target spraying ware researched.
The purpose of this research was to find out a more reasonable and effective method to integrate the resources of software systems. So that, the software system can better satisfy the requirement of intelligent toward-target sprayer. At the same time, a short cut of adjusting modules of software system was found that made the development of software in the intelligent toward- target sprayer simple and effective.
在研究过程中运用软件工程领域对智能对靶喷雾系统进行了系统整体设计,通过应用特定软件体系结构技术,以构件化的方式将软件系统按功能划分为图像采集构件、图像处理构件和控制执行构件,并设计和实现不同的构件完成整个软件系统的功能,最后将划分的构件进行系统集成,形成完整的软件系统。
在图像采集模块中运用双目视觉技术对施药目标进行了深度信息的提取与测量;在图像处理模块中将图像拼接与图像分割技术进行融合,并且提高了图像处理速度;在控制执行模块中,对智能对靶喷雾机的控制方法进行了研究;最后完成系统的集成工作,使智能对靶喷雾形成一个完整的系统,且对喷雾效果进行了试验验证。
本文研究的目的是要找到更合理有效的方法对软件系统进行资源的整合,使软件系统能更好地满足智能对靶喷雾机的需要,让智能对靶喷雾领域内的软件开发和维护变得简单高效。
The development of pesticide, application technique, plant protection machinery and software engineering applications both at home and abroad ware analyzed. A software system for the intelligent toward-target sprayer was put forward based on components. The software system architecture, software reuse, system integration technology ware used in the control system software of the intelligent toward-target sprayer in order to realize component-oriented and modular software system, so that the intelligent toward-target sprayer can achieve the purpose of precision application.
The overall system design of the intelligent toward-target spraying systems was completed through the field of software engineering. Through the application of domain-specific software architecture techniques, the functions of the software system could be divided into image acquisition components, image processing components and control implementation components according to the component-oriented approach. Then the functions of the software system could be achieved through designing and realizing the different components were integrated and complete software system was formed.
In the video image acquisition module, a dual-CCD camera using in the image acquisition system was studied. In the image processing module, the threshold segmentation on the application of the image information acquisition was studied according to the characteristics of the trees. In the implementation control module, the methods of intelligent control for intelligent toward-target sprayer were studied. In the system integration process, the integration of the hardware and software systems of intelligent toward-target spraying ware researched.
The purpose of this research was to find out a more reasonable and effective method to integrate the resources of software systems. So that, the software system can better satisfy the requirement of intelligent toward-target sprayer. At the same time, a short cut of adjusting modules of software system was found that made the development of software in the intelligent toward- target sprayer simple and effective.
引文
[1]光明日报.森林病虫害每年吞噬560亿元.地理数学.2003,5:42-43
[2]钱玉琴.国内外农业施药技术研究进展[J].福建农机,2006(3):26-29.
[3]傅泽田,祁力钧,王秀.农药喷施技术的优化[M].北京:农业科技出版社,2002,12:15-17.
[4]赵慧芹,张玉星,陈培英等.我国在农药使用中存在的问题及应对措施[J].河北果树,2004(6):17-19.
[5]李秀娟,宋桦华,高生.唐山市蔬菜农药残留现状及管理对策[J].农药科学与管理,2002,23(5):33-35.
[6]袁会珠,齐淑华,杨代斌.21世纪的农药使用技术[A].植物保护21世纪展望暨第三届全国青年植物保护科技工作者学术研讨会,1998.
[7]郑加强.农药精确使用原理与实施原则研究[J].科学技术与工程,2004,4(7):566-570.
[8]Robert P C. Precision A griculture: An Information Revolution in Agriculture, Agriculture Outlook Forum 1999.1~5.
[9] http://www.fmc.com/
[10]Charlotte A.Vitale, The Use of GPS Precision Agriculture and Forestry Management[M]. Final Project-ST2100 The Digital Age,2007
[11]饶洪辉.基于机器视觉的作物对行喷药控制系统研究[D].南京农业大学博士研究生论文,2006.
[12]郑加强,周宏平,徐幼林.农药精确使用技术[M].北京:科学出版社,2006.
[13]章毓晋.图像理解与计算视觉[M].北京:清华大学出版社,2000.
[14]Christopher Brown, Bo Hu. Interactive Indoor Scene Reconstruction from Image Mosaics Using Cuboids Structure[A].Proceedings of the Workshop on Motion and Viedo Computing 2002.
[15]Zhang N., Chaisattapagon C.. Effective criteria for weed identification in wheat fields using machine visionp[J]. Transactions of the ASAE,1995,38(3).
[16]Yonekawa S., Sakai N., Kitani O.. Identification of idealiaed leaf types using simple dimensionless shape factors by image analysis[J].Transactions of the ASAE, 1995,38(3).
[17]Giles D. K., Silaughter D. C. Precision band spraying with machine-vision guidance and adjust able yaw nozzles. Transactions of the ASAE, 1997, 40(1).
[18]应义斌,傅宾忠,蒋亦元等.机器视觉技术在农业生产自动化中的应用[J].农业机械学报,1999,15(3):199-203.
[19]Lee W.S.,Slaughter D.C,Giles D.K.Robotic weed control system for tomatoes[J].Precision Agriculture,1999(1):95-113.
[20]Bjorn Astrand,Albert-Jan Baerveldt.Robust recognition of plant rows[A].International conference of recent advances in mechatronics,1999.
[21]Bjorn Astrand,Albert-Jan Baerveldt. A vision based row-following system for agricultural field machinery[J].Mechatronics,2005(15):251-269.
[22]于新文,沈佐锐.昆虫数字图像的分割技术研究[J].农业工程学报,2001,17(3):137-141.
[23]纪良文,赵德安,吴春笃.喷药机器人辅助视觉系统中超声测距数据的采集与处理[J].江苏理工大学学报,1999,20(2):86-90.
[24]王荣本,纪寿文等.基于机器视觉的玉米施肥智能机器系统的设计概述[J].农业工程学报,2001,17(2):151-153.
[25]毛文华.基于机器视觉的田间杂草识别技术研究[D].中国农业大学博士学位论文,2004.
[26]袁佐云,毛志怀,魏青.基于计算机视觉的作物行定位技术.中国农业大学学报,2005,10(3):69-72.
[27]邵陆寿,戴之祥,崔怀雷.基于模糊控制的变量施药控制系统[J].农业机械学报,2005,36(11):110-112
[28]Jiaqiang Zheng, Hongping Zhou, Youlin Xu, Maocheng Zhao, Huichun Zhang, Yufeng Ge, Haitao Xiang,Yong Chen. Pilot Study on Toward-target Precision Pesticide Application[A].in Forestry. ASAE/CSAE ANNUAL INTERNATIONAL MEETING, August 1-4,2004-Ottawa, ON, Canada.
[29]邹建军,曾爱军,何雄奎,等.果园自动对靶喷雾机红外探测控制系统的研制[J].农业工程学报,2007,23(1):129-132.
[30]http://www.sprayerchina.com/cpDetail.jsp?id=66
[31]张富贵,洪添胜,肖磊,等.果树冠幅的检测机理研究[J].农业工程学报,2008.
[32]Bill Hunt. Intelligent spraying [EB/OL].http://www.spraytec.com/articles/IntelligentSpray.htm/,2002.
[33]http://www.teejet.com/MS
[34]Molto E, Martin B, Gutierrez A. Design and testing of an automatic machine for spraying at a constant distance from the tree canopy[J]. Journal of Agricultural Engineering Research,2000,77(4):379-384.
[35]Molto E, Martin B, Gutierrez A. Pesticide loss reduction automatic spraying on globular tree[J].Journal of Agricultural Engineering Research,2001,78(1):35-41.
[36]曾得洲,林永顺,盛中德.点喷式喷药车之喷药调查及探讨[R].八十五年农机研究发展与示范推广报告(上册),1997,5:169-178.
[37]王涛,何金戈,廖宇兰,等.植物保护喷雾机械的发展研究状况综述[J].安徽农学通报,2008,14(21):163-164.
[38]Kassay L, Slaughter D C, Molnar S. Hungarian robotic apple harvester[A]. St. Joseph,Mich.:ASAE,1992,ASAE Paper No.922047.
[39]Kondo N, Nishitsuji Y, Ling P P. Visual feedback guided robotic cherry tomato harvesting[J]. Transactions of the ASAE,1996,39(6):2331-2338.
[40]Haysshi S, Ganno K, Ishii Y, et al. Robotic harvesting system for eggplants[J]. Japan Agricultural Research Quarterly,2002,36(3):163-168.
[41]Hannan M W, Burks T F, Bulanon D M. A real-time machine vision algorithm for robotic citrus harvesting[A]. St. Joseph, Mich: ASAE,2007,ASAE Paper No. 073125.
[42]Shuhuai Zhang, Teruo Takahashi, Hiroshi Fukuchi. Measurement of 3-D Locations of Fruit by Binocular Stereo Vision for Apple Harvesting in an Orchard[J].ASAE,2002.Paper Number:021-102.
[43]张瑞合,姬长英,沈明霞,曹坤.计算机视觉技术在番茄收获中的应用[J].农业机械学报,2001,32(5):51-55.
[44]郑小东,赵杰文,刘木华.基于双目立体视觉的番茄识别与定位技术[J].计算机工程,2004,30(22):171-173.
[45]仲琴.基于机器视觉的番茄收获机器人目标定位技术研究[D].江苏大学硕士学位论文,2005.
[46]高庆吉,洪炳熔,阮玉峰.基于异构双目视觉的全自主足球机器人导航[J].哈尔滨工业大学学报,2003,35(9):1029-1032.
[47]Yajun Fang, Ichiro Masaki, and Berthold Horn. Depth-Based Target Segmentation for Intelligent Vehicles:Fusion of Radar and Binocular Stereo. IEEE Transactions On Intelligent Transportation Systems, 2002,3(3):196-202.
[48]Clark F. Olson, Habib Abi-Rached, Ming Ye, Jonathan P. Hendrich. Wide-Baseline Stereo Vision For Mars Rovers[A]. Proceedings Of The 2003 IEEE/RSJ Intl. Conference On Intelligent Robots And Systems. October 2003.
[49]叶劲松,陆守一,孙美娟.基于组件的网格化森林资源信息集成系统的研建[J].农业网络信息,2005(6):36-38.
[50]任守纲,高上上.面向农业特定领域软件体系结构适应性模式的研究与设计术[J].计算机应用研究,2008,25(5): 1390-1393.
[51]葛玉峰,周宏平,郑加强,张慧春.基于相对色彩因子的树木图像分割算法[J].南京林业大学学报,2004,28(4):19-22
[52]Abel-Aziz Y.I.,Karara H.M..Direct linear transformation from comparator coordinates into object spacecoordinates in close range photogrammetry. In: Proceedings of the ASP Symposium on Close-Range Photogrammetry, Urbana, Illinois, 1971:1~18
[53] Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation,1987,3:323~344
[54] Zhang Z. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22:1330~1334
[55]Meng Xiaoqiao, Hu Zhanyi, A New Easy Camera Calibration Technique Based on Circular Points,Pattern Recognition,36(5):1155-1164,2003
[56] Y.Wu, H.Zhu, Z.Hu, and F.Wu. Camera Calibration from the Quasi-Affine Invariance of Two Parallel Circles. The 8th European conference on Computer Vision (ECCV),pp.190-202,2004
[57]周博.基于图像拼接的扩大树木图像采集视野研究.南京林业大学硕士学位论文,2008
[58]章毓晋.图像工程(下册)图像理解与计算机视觉.北京:清华大学出版社,2000
[59]马颂德,张正友.计算机视觉——计算理论与算法基础[M].北京:科学出版社,1998
[60]王红梅,张科,李言俊.图像匹配研究进展[J].计算机工程与应用,2004,40(19):42-44
[61] Ghlita O,Mallon J,Whelan PF. Epipolar line extraction using feature matching[A]. Proceeding of the Irish Machine Vision & Image Processing (MVIP)[C].2001.87-97
[62]葛玉峰.基于机器视觉的室内模拟农药精确对靶施用系统研究.南京林业大学硕士学位论文,2003
[63]向海涛,郑加强,周宏平.基于机器视觉的树木图像实时采集与识别系统[J].林业科学,2004,40(3):144-148
[64]葛玉峰,周宏平,郑加强,张慧春.基于机器视觉的室内农药自动精确喷雾系统[J].农业机械学报,2005,36(3):86-89
[65]向海涛.基于机器视觉的树木图像实时采集与识别系统.南京林业大学硕士学位论文,2002
[66]赵茂程,郑加强,林小静,封晓强.基于分形理论的树木图像分割方法[J].农业机械学报,2004,35(2):73-75
[67]Zhao Mao-cheng,Zheng Jia-qiang,Ling Xioa-jing. Improved Tree Crown Recognition System Based Artificial Neural Network[J]. Journal of Nanjing Forestry University,2005,29(4):11-14
[68]葛玉峰,周宏平,郑加强.计算机视觉技术在林业生产中的应用分析[J].林业机械与木工设备,2003,31(1):7-10
[69]陈勇,郑加强.精确施药可变量喷雾控制系统的研究[J].农业工程学报,2005,21(5):69-72
[70]Zheng Jiaqiang, Zhou Hongping, Xu Youlin, Zhao Maocheng, Zhang Huichun, Ge Yufeng, Xiang Haitao, Chen Yong. Towrard-target precision pesticide application and its system design[J]. Transactions of the CSAE,2005,21(11):67-72
[71]赵茂程,郑加强,封晓强,林小静.人工神经网络在林业中的应用研究与展望[J].中国制造业信息化,2003,32(4):99-102
[72]赵茂程,郑加强,凌小静.一种基于小波变换的图像过渡区提取及分割方法[J].农业工程学报,2005,21(11):103-107
[73]孙松平,郑加强,周宏平.农药精确喷雾DSS集成推理机设计[J].中华卫生杀虫药械,2006,12(4):257-260
[74]孙松平,周宏平,郑加强.农药精确喷雾IDSS知识库构建[J].林业科技情报,2006,38(4):26-28
[75]孙松平,郑加强,周宏平.农药精确喷雾智能决策支持系统的设计[J].南京林业大学学报,2006,30(5):25-28
[76]孙松平,郑加强,周宏平.智能决策支持系统及其在林业中的应用研究[J].世界林业研究,2005,18(2):7-10
[77]赵茂程.基于分形理论和机器视觉的树形识别系统研究.南京林业大学博士学位论文,2003
[78]张友生.软件体系结构[M].北京:清华大学出版社,2004
[79]冯冲,江贺,冯静芳.软件体系结构理论与实践[M].北京:人民邮电出版社,2004
[80]刘芳,林拉.基于本体的特定领域软件体系结构设计的研究[J].计算机技术与发展,2006,16(12):22-25
[81]彭鑫,赵文耘,刘奕明.基于特征模型贺构件语义的概念体系结构设计[J].软件学报,2006,17(6):1307-1317
[82]孙昌爱,金茂忠,刘超.软件体系结构研究综述[J].软件学报,2002,13(7):1228-1237
[83]于振华,蔡远利.特定领域软件体系结构研究[J].微电子学与计算机,2004,21(7):66-69
[84]刘中合,李邦明,王瑞雪,刘贤喜,刘涛.计算机视觉技术在农业机械中的应用[J].农业装备与车辆工程,2005,4:37-39
[85]赵茂程,郑加强,佘光辉.数据融合技术及其在林业中的应用[J].南京林业大学学报,2005,29(6):114-118
[86]He Yong, Zhang Qin, Alan Hansen, Noboru Noguchi, Beom-soo Shin. Computer-integrated crop production technologies for mechanized precision farming[J]. Transactions of the CSAE, 2006,22(11):152-159
[87]Tang L, Steward B, Tian L. Machine vision-based high-resolution weed mapping and patch-sprayer performance simulation. SAE Trans-Journal of Commercial Vehicles,2000,108(2):317-326
[88]Gopalapillai S, Tian L, Zheng J Q. Evaluation of a flow control system for site-specific herbicide applications. Transaction of ASAE,1999,42(4):863-870
[89]Tian L, Reid J F, Hummel J W. Development of precision sprayer for site-specific weed management. Trans.of ASAE, 1999,42(4):893-900
[90]Tian L, Zheng J Q. Dynamic deposition pattern simulation of modulated spraying. Trans. Of ASAE, 2000,43(1):5-11
[91]Tian L. Sensor-based precision herbicide application system. Proceedings of the World Congress of Computer in Agriculture and Natural Resources, 2002,279-289
[92]Tian L, Slaughter D C,Norris R. Outdoor field machine vision identification of tomato seedings for automated weed control. Transactions of the ASAE,1997,40(6):1761-1768
[93]张方明,应义斌.机器视觉在农业车辆导航系统中的研究发展.农业机械学报,2005,36(5):133-136
[94]章毓晋.过渡区和图像分割.电子学报,1996,24(1):12-17
[97]Zheng J Q. Intelligent pesticide spraying aims for tree target. Resource,2005,12(7):5
[98]陈勇.自动施药机器人及可变量控制系统研究.南京林业大学博士学位论文,2005
[99]赵茂程,郑加强.我国农药使用技术培训体系研究.农业系统科学与综合研究.2003,19(4):278-281
[102]蓝慕云,刘建瓴,吴庭万等.机器视觉中针孔模型摄像机的自标定方法。机电产品开发与创新,2006,19(1):42~44
[103]吴文琪,孙增沂.机器视觉中的摄像机标定方法综述.计算机应用研究,2004,2:4~6
[104]苏彦华等.数字图识别技术典型案例.人民邮电出版社,2004
[2]钱玉琴.国内外农业施药技术研究进展[J].福建农机,2006(3):26-29.
[3]傅泽田,祁力钧,王秀.农药喷施技术的优化[M].北京:农业科技出版社,2002,12:15-17.
[4]赵慧芹,张玉星,陈培英等.我国在农药使用中存在的问题及应对措施[J].河北果树,2004(6):17-19.
[5]李秀娟,宋桦华,高生.唐山市蔬菜农药残留现状及管理对策[J].农药科学与管理,2002,23(5):33-35.
[6]袁会珠,齐淑华,杨代斌.21世纪的农药使用技术[A].植物保护21世纪展望暨第三届全国青年植物保护科技工作者学术研讨会,1998.
[7]郑加强.农药精确使用原理与实施原则研究[J].科学技术与工程,2004,4(7):566-570.
[8]Robert P C. Precision A griculture: An Information Revolution in Agriculture, Agriculture Outlook Forum 1999.1~5.
[9] http://www.fmc.com/
[10]Charlotte A.Vitale, The Use of GPS Precision Agriculture and Forestry Management[M]. Final Project-ST2100 The Digital Age,2007
[11]饶洪辉.基于机器视觉的作物对行喷药控制系统研究[D].南京农业大学博士研究生论文,2006.
[12]郑加强,周宏平,徐幼林.农药精确使用技术[M].北京:科学出版社,2006.
[13]章毓晋.图像理解与计算视觉[M].北京:清华大学出版社,2000.
[14]Christopher Brown, Bo Hu. Interactive Indoor Scene Reconstruction from Image Mosaics Using Cuboids Structure[A].Proceedings of the Workshop on Motion and Viedo Computing 2002.
[15]Zhang N., Chaisattapagon C.. Effective criteria for weed identification in wheat fields using machine visionp[J]. Transactions of the ASAE,1995,38(3).
[16]Yonekawa S., Sakai N., Kitani O.. Identification of idealiaed leaf types using simple dimensionless shape factors by image analysis[J].Transactions of the ASAE, 1995,38(3).
[17]Giles D. K., Silaughter D. C. Precision band spraying with machine-vision guidance and adjust able yaw nozzles. Transactions of the ASAE, 1997, 40(1).
[18]应义斌,傅宾忠,蒋亦元等.机器视觉技术在农业生产自动化中的应用[J].农业机械学报,1999,15(3):199-203.
[19]Lee W.S.,Slaughter D.C,Giles D.K.Robotic weed control system for tomatoes[J].Precision Agriculture,1999(1):95-113.
[20]Bjorn Astrand,Albert-Jan Baerveldt.Robust recognition of plant rows[A].International conference of recent advances in mechatronics,1999.
[21]Bjorn Astrand,Albert-Jan Baerveldt. A vision based row-following system for agricultural field machinery[J].Mechatronics,2005(15):251-269.
[22]于新文,沈佐锐.昆虫数字图像的分割技术研究[J].农业工程学报,2001,17(3):137-141.
[23]纪良文,赵德安,吴春笃.喷药机器人辅助视觉系统中超声测距数据的采集与处理[J].江苏理工大学学报,1999,20(2):86-90.
[24]王荣本,纪寿文等.基于机器视觉的玉米施肥智能机器系统的设计概述[J].农业工程学报,2001,17(2):151-153.
[25]毛文华.基于机器视觉的田间杂草识别技术研究[D].中国农业大学博士学位论文,2004.
[26]袁佐云,毛志怀,魏青.基于计算机视觉的作物行定位技术.中国农业大学学报,2005,10(3):69-72.
[27]邵陆寿,戴之祥,崔怀雷.基于模糊控制的变量施药控制系统[J].农业机械学报,2005,36(11):110-112
[28]Jiaqiang Zheng, Hongping Zhou, Youlin Xu, Maocheng Zhao, Huichun Zhang, Yufeng Ge, Haitao Xiang,Yong Chen. Pilot Study on Toward-target Precision Pesticide Application[A].in Forestry. ASAE/CSAE ANNUAL INTERNATIONAL MEETING, August 1-4,2004-Ottawa, ON, Canada.
[29]邹建军,曾爱军,何雄奎,等.果园自动对靶喷雾机红外探测控制系统的研制[J].农业工程学报,2007,23(1):129-132.
[30]http://www.sprayerchina.com/cpDetail.jsp?id=66
[31]张富贵,洪添胜,肖磊,等.果树冠幅的检测机理研究[J].农业工程学报,2008.
[32]Bill Hunt. Intelligent spraying [EB/OL].http://www.spraytec.com/articles/IntelligentSpray.htm/,2002.
[33]http://www.teejet.com/MS
[34]Molto E, Martin B, Gutierrez A. Design and testing of an automatic machine for spraying at a constant distance from the tree canopy[J]. Journal of Agricultural Engineering Research,2000,77(4):379-384.
[35]Molto E, Martin B, Gutierrez A. Pesticide loss reduction automatic spraying on globular tree[J].Journal of Agricultural Engineering Research,2001,78(1):35-41.
[36]曾得洲,林永顺,盛中德.点喷式喷药车之喷药调查及探讨[R].八十五年农机研究发展与示范推广报告(上册),1997,5:169-178.
[37]王涛,何金戈,廖宇兰,等.植物保护喷雾机械的发展研究状况综述[J].安徽农学通报,2008,14(21):163-164.
[38]Kassay L, Slaughter D C, Molnar S. Hungarian robotic apple harvester[A]. St. Joseph,Mich.:ASAE,1992,ASAE Paper No.922047.
[39]Kondo N, Nishitsuji Y, Ling P P. Visual feedback guided robotic cherry tomato harvesting[J]. Transactions of the ASAE,1996,39(6):2331-2338.
[40]Haysshi S, Ganno K, Ishii Y, et al. Robotic harvesting system for eggplants[J]. Japan Agricultural Research Quarterly,2002,36(3):163-168.
[41]Hannan M W, Burks T F, Bulanon D M. A real-time machine vision algorithm for robotic citrus harvesting[A]. St. Joseph, Mich: ASAE,2007,ASAE Paper No. 073125.
[42]Shuhuai Zhang, Teruo Takahashi, Hiroshi Fukuchi. Measurement of 3-D Locations of Fruit by Binocular Stereo Vision for Apple Harvesting in an Orchard[J].ASAE,2002.Paper Number:021-102.
[43]张瑞合,姬长英,沈明霞,曹坤.计算机视觉技术在番茄收获中的应用[J].农业机械学报,2001,32(5):51-55.
[44]郑小东,赵杰文,刘木华.基于双目立体视觉的番茄识别与定位技术[J].计算机工程,2004,30(22):171-173.
[45]仲琴.基于机器视觉的番茄收获机器人目标定位技术研究[D].江苏大学硕士学位论文,2005.
[46]高庆吉,洪炳熔,阮玉峰.基于异构双目视觉的全自主足球机器人导航[J].哈尔滨工业大学学报,2003,35(9):1029-1032.
[47]Yajun Fang, Ichiro Masaki, and Berthold Horn. Depth-Based Target Segmentation for Intelligent Vehicles:Fusion of Radar and Binocular Stereo. IEEE Transactions On Intelligent Transportation Systems, 2002,3(3):196-202.
[48]Clark F. Olson, Habib Abi-Rached, Ming Ye, Jonathan P. Hendrich. Wide-Baseline Stereo Vision For Mars Rovers[A]. Proceedings Of The 2003 IEEE/RSJ Intl. Conference On Intelligent Robots And Systems. October 2003.
[49]叶劲松,陆守一,孙美娟.基于组件的网格化森林资源信息集成系统的研建[J].农业网络信息,2005(6):36-38.
[50]任守纲,高上上.面向农业特定领域软件体系结构适应性模式的研究与设计术[J].计算机应用研究,2008,25(5): 1390-1393.
[51]葛玉峰,周宏平,郑加强,张慧春.基于相对色彩因子的树木图像分割算法[J].南京林业大学学报,2004,28(4):19-22
[52]Abel-Aziz Y.I.,Karara H.M..Direct linear transformation from comparator coordinates into object spacecoordinates in close range photogrammetry. In: Proceedings of the ASP Symposium on Close-Range Photogrammetry, Urbana, Illinois, 1971:1~18
[53] Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation,1987,3:323~344
[54] Zhang Z. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22:1330~1334
[55]Meng Xiaoqiao, Hu Zhanyi, A New Easy Camera Calibration Technique Based on Circular Points,Pattern Recognition,36(5):1155-1164,2003
[56] Y.Wu, H.Zhu, Z.Hu, and F.Wu. Camera Calibration from the Quasi-Affine Invariance of Two Parallel Circles. The 8th European conference on Computer Vision (ECCV),pp.190-202,2004
[57]周博.基于图像拼接的扩大树木图像采集视野研究.南京林业大学硕士学位论文,2008
[58]章毓晋.图像工程(下册)图像理解与计算机视觉.北京:清华大学出版社,2000
[59]马颂德,张正友.计算机视觉——计算理论与算法基础[M].北京:科学出版社,1998
[60]王红梅,张科,李言俊.图像匹配研究进展[J].计算机工程与应用,2004,40(19):42-44
[61] Ghlita O,Mallon J,Whelan PF. Epipolar line extraction using feature matching[A]. Proceeding of the Irish Machine Vision & Image Processing (MVIP)[C].2001.87-97
[62]葛玉峰.基于机器视觉的室内模拟农药精确对靶施用系统研究.南京林业大学硕士学位论文,2003
[63]向海涛,郑加强,周宏平.基于机器视觉的树木图像实时采集与识别系统[J].林业科学,2004,40(3):144-148
[64]葛玉峰,周宏平,郑加强,张慧春.基于机器视觉的室内农药自动精确喷雾系统[J].农业机械学报,2005,36(3):86-89
[65]向海涛.基于机器视觉的树木图像实时采集与识别系统.南京林业大学硕士学位论文,2002
[66]赵茂程,郑加强,林小静,封晓强.基于分形理论的树木图像分割方法[J].农业机械学报,2004,35(2):73-75
[67]Zhao Mao-cheng,Zheng Jia-qiang,Ling Xioa-jing. Improved Tree Crown Recognition System Based Artificial Neural Network[J]. Journal of Nanjing Forestry University,2005,29(4):11-14
[68]葛玉峰,周宏平,郑加强.计算机视觉技术在林业生产中的应用分析[J].林业机械与木工设备,2003,31(1):7-10
[69]陈勇,郑加强.精确施药可变量喷雾控制系统的研究[J].农业工程学报,2005,21(5):69-72
[70]Zheng Jiaqiang, Zhou Hongping, Xu Youlin, Zhao Maocheng, Zhang Huichun, Ge Yufeng, Xiang Haitao, Chen Yong. Towrard-target precision pesticide application and its system design[J]. Transactions of the CSAE,2005,21(11):67-72
[71]赵茂程,郑加强,封晓强,林小静.人工神经网络在林业中的应用研究与展望[J].中国制造业信息化,2003,32(4):99-102
[72]赵茂程,郑加强,凌小静.一种基于小波变换的图像过渡区提取及分割方法[J].农业工程学报,2005,21(11):103-107
[73]孙松平,郑加强,周宏平.农药精确喷雾DSS集成推理机设计[J].中华卫生杀虫药械,2006,12(4):257-260
[74]孙松平,周宏平,郑加强.农药精确喷雾IDSS知识库构建[J].林业科技情报,2006,38(4):26-28
[75]孙松平,郑加强,周宏平.农药精确喷雾智能决策支持系统的设计[J].南京林业大学学报,2006,30(5):25-28
[76]孙松平,郑加强,周宏平.智能决策支持系统及其在林业中的应用研究[J].世界林业研究,2005,18(2):7-10
[77]赵茂程.基于分形理论和机器视觉的树形识别系统研究.南京林业大学博士学位论文,2003
[78]张友生.软件体系结构[M].北京:清华大学出版社,2004
[79]冯冲,江贺,冯静芳.软件体系结构理论与实践[M].北京:人民邮电出版社,2004
[80]刘芳,林拉.基于本体的特定领域软件体系结构设计的研究[J].计算机技术与发展,2006,16(12):22-25
[81]彭鑫,赵文耘,刘奕明.基于特征模型贺构件语义的概念体系结构设计[J].软件学报,2006,17(6):1307-1317
[82]孙昌爱,金茂忠,刘超.软件体系结构研究综述[J].软件学报,2002,13(7):1228-1237
[83]于振华,蔡远利.特定领域软件体系结构研究[J].微电子学与计算机,2004,21(7):66-69
[84]刘中合,李邦明,王瑞雪,刘贤喜,刘涛.计算机视觉技术在农业机械中的应用[J].农业装备与车辆工程,2005,4:37-39
[85]赵茂程,郑加强,佘光辉.数据融合技术及其在林业中的应用[J].南京林业大学学报,2005,29(6):114-118
[86]He Yong, Zhang Qin, Alan Hansen, Noboru Noguchi, Beom-soo Shin. Computer-integrated crop production technologies for mechanized precision farming[J]. Transactions of the CSAE, 2006,22(11):152-159
[87]Tang L, Steward B, Tian L. Machine vision-based high-resolution weed mapping and patch-sprayer performance simulation. SAE Trans-Journal of Commercial Vehicles,2000,108(2):317-326
[88]Gopalapillai S, Tian L, Zheng J Q. Evaluation of a flow control system for site-specific herbicide applications. Transaction of ASAE,1999,42(4):863-870
[89]Tian L, Reid J F, Hummel J W. Development of precision sprayer for site-specific weed management. Trans.of ASAE, 1999,42(4):893-900
[90]Tian L, Zheng J Q. Dynamic deposition pattern simulation of modulated spraying. Trans. Of ASAE, 2000,43(1):5-11
[91]Tian L. Sensor-based precision herbicide application system. Proceedings of the World Congress of Computer in Agriculture and Natural Resources, 2002,279-289
[92]Tian L, Slaughter D C,Norris R. Outdoor field machine vision identification of tomato seedings for automated weed control. Transactions of the ASAE,1997,40(6):1761-1768
[93]张方明,应义斌.机器视觉在农业车辆导航系统中的研究发展.农业机械学报,2005,36(5):133-136
[94]章毓晋.过渡区和图像分割.电子学报,1996,24(1):12-17
[97]Zheng J Q. Intelligent pesticide spraying aims for tree target. Resource,2005,12(7):5
[98]陈勇.自动施药机器人及可变量控制系统研究.南京林业大学博士学位论文,2005
[99]赵茂程,郑加强.我国农药使用技术培训体系研究.农业系统科学与综合研究.2003,19(4):278-281
[102]蓝慕云,刘建瓴,吴庭万等.机器视觉中针孔模型摄像机的自标定方法。机电产品开发与创新,2006,19(1):42~44
[103]吴文琪,孙增沂.机器视觉中的摄像机标定方法综述.计算机应用研究,2004,2:4~6
[104]苏彦华等.数字图识别技术典型案例.人民邮电出版社,2004