机器视觉技术在农业生产智能化中的应用综述
|
摘要
近年来,随着农业领域智能化程度的提高,机器视觉技术在现代农业生产中的应用日益广泛,主要集中在农业机器人、农作物病虫害监视和农产品质量检测三个方面。基于机器视觉的农业机器人的投入使用可以有效缩短农产品的生产周期,病虫害监视技术的推广可以显著提高农产品质量,农产品质量检测技术的应用可以大幅提高分级精度。本文从农业机器人、农作物病虫害监视和农产品质量检测三个方面综述了机器视觉技术在国内外的研究进展,分析了目前尚需解决的问题并提出了相应的解决方法。
In recent years, with the improvement of the intelligence degree in the agricultural field, the application of machine vision technology in modern agricultural production has become more and more extensive, which mainly focuses on agricultural robots, crop pest monitoring and agricultural product quality inspection. The use of agricultural robots based on machine vision can effectively shorten the production cycle of agricultural products; the promotion of pest control technology can significantly improve the quality of agricultural products; the application of agricultural product quality inspection technology can greatly improve the classification accuracy. This paper reviews the research progress of machine vision technology at home and abroad from three aspects: agricultural robot, crop pest monitoring and agricultural product quality inspection. It analyzes the problems that need to be solved at present and proposes corresponding solutions.
In recent years, with the improvement of the intelligence degree in the agricultural field, the application of machine vision technology in modern agricultural production has become more and more extensive, which mainly focuses on agricultural robots, crop pest monitoring and agricultural product quality inspection. The use of agricultural robots based on machine vision can effectively shorten the production cycle of agricultural products; the promotion of pest control technology can significantly improve the quality of agricultural products; the application of agricultural product quality inspection technology can greatly improve the classification accuracy. This paper reviews the research progress of machine vision technology at home and abroad from three aspects: agricultural robot, crop pest monitoring and agricultural product quality inspection. It analyzes the problems that need to be solved at present and proposes corresponding solutions.
引文
[1] 朱启臻,杨汇泉.谁在种地——对农业劳动力的调查与思考[J].中国农业大学学报(社会科学版),2011,28(1):162-169.
[2] Brosnan T,Sun D W.Inspection and grading of agricultural and food products by computer vision systems-a review[J].Computers and Electronics in Agriculture,2002,36(2-3):193-213.
[3] 赵茂程,侯文军.我国基于机器视觉的水果自动分级技术及研究进展[J].包装与食品机械,2007,25(5):5-8.
[4] 张宏智.机器视觉开发平台的代码自动生成与算法库转换的设计与实现[D].北京:北京交通大学,2009.
[5] 吴文荣.基于机器视觉的柔性制造岛在线零件识别系统研究[D].北京:电子科技大学,2006.
[6] 陈帝伊,陈建海,马孝义.农业机器人关键技术及应用研究进展[J].农机化研究,2010,32(5):207-211.
[7] Monta M,Kondo N,Shibano Y.Agricultural Robot in Grape Production System[C]//IEEE International Conference on Robotics & Automation.IEEE,1995.
[8] Pedersen S M,Fountas S,Have H,et al.Agricultural robots—system analysis and economic feasibility[J].Precision Agriculture,2006,7(4):295-308.
[9] Kanae T,Tateshi F,Akira A,et al.Cherry-harvesting robot[J].Computers & Electronics in Agriculture,2008,63(1):65-72.
[10] Wooten J R,White J G,Thomasson J A ,et al.Yield and quality monitor for sweetpotato with machine vision[C]//Asae Meeting Paper,2000.
[11] Husin Z B,Shakaff A Y B M,Aziz A H B A,et al.Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques[C]//2012 Third International Conference on Intelligent Systems Modelling and Simulation.IEEE,2012.
[12] Khirade S D,Patil A B.Plant Disease Detection Using Image Processing[C]//International Conference on Computing Communication Control & Automation.IEEE Computer Society,2015.
[13] Liu J,Paulsen M R.Corn whiteness measurement and classification using machine vision[J].Transactions of the ASAE,2000,43(3):757-763.
[14] Chen Y R,Chao K,Kim M S.Machine vision technology for agricultural applications[J].Computers and Electronics in Agriculture,2002,36(2-3):173-191.
[15] Reid J F,Zhang Q,Noguchi N,et al.Agricultural automatic guidance research in North America[J].Computers and Electronics in Agriculture,2000,25(1-2):155-167.
[16] Hashimoto Y,Murase H,Morimoto T,et al.Intelligent systems for agriculture in Japan[J].Control Systems IEEE,2001,21(5):71-85.
[17] Popa C.Adoption of Artificial Intelligence in Agriculture[J].Bulletin of the University of Agricultural Sciences & Veterinary,2011.
[18] 姬江涛,郑治华,杜蒙蒙,等.农业机器人的发展现状及趋势[J].农机化研究,2014(2):1-4.
[19] 毕昆,赵馨,侯瑞锋,等.机器人技术在农业中的应用方向和发展趋势[J].中国农学通报,2011,27(4):469-473.
[20] Kondo N,Nishitsuji Y,Ling P,et at.Visual feedback guided robotic cherry tomato harvesting[J].Trans of the ASAE,1996(39):2331-2338.
[21] Kondo N ,Monta M ,Fujiura T .Fruit harvesting robots in Japan[J].Advances in Space Research,1996,18(1-2):181-184.
[22] Edan Y,Rogozin D,Flash T,et al.Robotic melon harvesting[J].IEEE Transactions on Robotics & Automation,2000,16(6):831-835.
[23] 袁挺,李伟,谭豫之,等.温室环境下黄瓜采摘机器人信息获取[J].农业机械学报,2009,40(10):151-155.
[24] 张俊雄,何芬.设施农业采摘机器人研究进展[J].当代农机,2016(1):22-24.
[25] 贺橙林.基于机器视觉的气动采摘机器人研究[D].上海:上海交通大学,2015.
[26] 刘金颂,原思聪,张庆阳,等.双日立体视觉中的摄像机标定技术研究[J].计算机工程与应用,2008:237-239.
[27] Giles.Precision band spraying with machine-vision guidance and adjustable yaw nozzles[J].Transactions of the Asae,1997,40(1):29-36.
[28] Astrand B,Baerveldt A J.Robust recognition of plant rows[C]//International conference of recent advances inmechatronics,1999:268-283.
[29] Keicher R,Seufert H.Automatic guidance for agricultural vehicles in Europe[J].Computers and Electronics in Agriculture,2000,25(1-2):169-194..
[30] 李建平,林妙玲.自动导航技术在农业工程中的应用研究进展[J].农业工程学报,2006,22(9):232-236.
[31] 袁佐云,毛志怀,魏青.基于计算机视觉的作物行定位技术[J].中国农业大学学报,2005,10(3):69-72.
[32] 王宝梁.多功能自主农业机器人研制[D].南京:南京农业大学,2013.
[33] Beeran Kutty S,Saaidin S,Megat Yunus P N A,et al.Evaluation of canny and sobel operator for logo edge detection[C]//International Symposium on Technology Management & Emerging Technologies.IEEE,2014.
[34] 方建军.移动式采摘机器人研究现状与进展[J].农业工程学报,2004,20(2):273-278.
[35] 冀荣华,祁力钧,傅泽田.机器视觉技术在精细农业中的研究进展[J].农机化研究,2007(11):1-5.
[36] Pydipati R,Burks T F,Lee W S.Identification of citrus disease using color texture features and discriminant analysis[J].Computers and Electronics in Agriculture,2006,52(1-2):49-59.
[37] 赖军臣,李少昆,明博,等.作物病害机器视觉诊断研究进展[J].中国农业科学,2009,42(4):1215-1221.
[38] Mayo M,Watson A T.Automatic species identification of live moths[J].Knowledge-Based Systems,2007,20(2):195-202.
[39] 毛罕平,徐贵力,李萍萍.基于计算机视觉的番茄营养元素亏缺的识别[J].农业机械学报,2003,34(2):73-75.
[40] 李亚硕,伊飞,王崇,等.基于机器视觉的田间飞行害虫自动检测方法[J].农业工程,2018,8(3):26-29.
[41] 余烨,李冰飞,张小魏,等.面向RGBD图像的标记分水岭分割[J].中国图象图形学报,2018,21(2):145-154.
[42] 李素,郭兆春,王聪,等.信息技术在农作物病虫害监测预警中的应用综述[J].江苏农业科学,2018,46(22):1-6.
[43] 汪京京,张武.农作物病虫害图像识别技术的研究综述[J].计算机工程与科学,2014,36(7):1363-1370.
[44] 黄勇平,章程辉.计算机视觉技术在农产品检测中的应用[J].农业研究与应用,2007(1):48-50.
[45] Shearer S A,Payne F A.Color and defect sorting of bell peppers using machine vision[J].Transaction Asae,1990,33(6):1245-1250.
[46] Blasco J,Aleixos N,Molt,E.Machine vision system for automatic quality grading of fruit[J].Biosystems Engineering,2003,85(4):415-423.
[47] 安卫.精度和重复性的区别[J].航空精密制造技术,1997(3):24-24.
[48] 基于遗传神经网络的苹果综合分级系统[J].西北农林科技大学学报(自然科学版),2001,29(6):108-111.
[49] Yang Q,Marchant J A.Accurate blemish detection with active contour models[J].Computers & Electronics in Agriculture,1996,14(1):77-89.
[50] 张亚静,Shibusawa S,李民赞.基于机器视觉的番茄内部品质预测[J].农业工程学报,2010,26(s2):366-370.
[51] 郑庆伟.农作物混作技巧[J].农机具之友,2002(2):31-31.
[52] 应义斌,饶秀勤,赵匀,等.机器视觉技术在农产品品质自动识别中的应用研究进展[J].农业工程学报,2000,16(3):4-8.
[53] 徐鹏,陈乃中,杨定.自动识别技术在昆虫分类鉴别研究中的应用[J].应用昆虫学报,2010,47(2):256-262.
[2] Brosnan T,Sun D W.Inspection and grading of agricultural and food products by computer vision systems-a review[J].Computers and Electronics in Agriculture,2002,36(2-3):193-213.
[3] 赵茂程,侯文军.我国基于机器视觉的水果自动分级技术及研究进展[J].包装与食品机械,2007,25(5):5-8.
[4] 张宏智.机器视觉开发平台的代码自动生成与算法库转换的设计与实现[D].北京:北京交通大学,2009.
[5] 吴文荣.基于机器视觉的柔性制造岛在线零件识别系统研究[D].北京:电子科技大学,2006.
[6] 陈帝伊,陈建海,马孝义.农业机器人关键技术及应用研究进展[J].农机化研究,2010,32(5):207-211.
[7] Monta M,Kondo N,Shibano Y.Agricultural Robot in Grape Production System[C]//IEEE International Conference on Robotics & Automation.IEEE,1995.
[8] Pedersen S M,Fountas S,Have H,et al.Agricultural robots—system analysis and economic feasibility[J].Precision Agriculture,2006,7(4):295-308.
[9] Kanae T,Tateshi F,Akira A,et al.Cherry-harvesting robot[J].Computers & Electronics in Agriculture,2008,63(1):65-72.
[10] Wooten J R,White J G,Thomasson J A ,et al.Yield and quality monitor for sweetpotato with machine vision[C]//Asae Meeting Paper,2000.
[11] Husin Z B,Shakaff A Y B M,Aziz A H B A,et al.Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques[C]//2012 Third International Conference on Intelligent Systems Modelling and Simulation.IEEE,2012.
[12] Khirade S D,Patil A B.Plant Disease Detection Using Image Processing[C]//International Conference on Computing Communication Control & Automation.IEEE Computer Society,2015.
[13] Liu J,Paulsen M R.Corn whiteness measurement and classification using machine vision[J].Transactions of the ASAE,2000,43(3):757-763.
[14] Chen Y R,Chao K,Kim M S.Machine vision technology for agricultural applications[J].Computers and Electronics in Agriculture,2002,36(2-3):173-191.
[15] Reid J F,Zhang Q,Noguchi N,et al.Agricultural automatic guidance research in North America[J].Computers and Electronics in Agriculture,2000,25(1-2):155-167.
[16] Hashimoto Y,Murase H,Morimoto T,et al.Intelligent systems for agriculture in Japan[J].Control Systems IEEE,2001,21(5):71-85.
[17] Popa C.Adoption of Artificial Intelligence in Agriculture[J].Bulletin of the University of Agricultural Sciences & Veterinary,2011.
[18] 姬江涛,郑治华,杜蒙蒙,等.农业机器人的发展现状及趋势[J].农机化研究,2014(2):1-4.
[19] 毕昆,赵馨,侯瑞锋,等.机器人技术在农业中的应用方向和发展趋势[J].中国农学通报,2011,27(4):469-473.
[20] Kondo N,Nishitsuji Y,Ling P,et at.Visual feedback guided robotic cherry tomato harvesting[J].Trans of the ASAE,1996(39):2331-2338.
[21] Kondo N ,Monta M ,Fujiura T .Fruit harvesting robots in Japan[J].Advances in Space Research,1996,18(1-2):181-184.
[22] Edan Y,Rogozin D,Flash T,et al.Robotic melon harvesting[J].IEEE Transactions on Robotics & Automation,2000,16(6):831-835.
[23] 袁挺,李伟,谭豫之,等.温室环境下黄瓜采摘机器人信息获取[J].农业机械学报,2009,40(10):151-155.
[24] 张俊雄,何芬.设施农业采摘机器人研究进展[J].当代农机,2016(1):22-24.
[25] 贺橙林.基于机器视觉的气动采摘机器人研究[D].上海:上海交通大学,2015.
[26] 刘金颂,原思聪,张庆阳,等.双日立体视觉中的摄像机标定技术研究[J].计算机工程与应用,2008:237-239.
[27] Giles.Precision band spraying with machine-vision guidance and adjustable yaw nozzles[J].Transactions of the Asae,1997,40(1):29-36.
[28] Astrand B,Baerveldt A J.Robust recognition of plant rows[C]//International conference of recent advances inmechatronics,1999:268-283.
[29] Keicher R,Seufert H.Automatic guidance for agricultural vehicles in Europe[J].Computers and Electronics in Agriculture,2000,25(1-2):169-194..
[30] 李建平,林妙玲.自动导航技术在农业工程中的应用研究进展[J].农业工程学报,2006,22(9):232-236.
[31] 袁佐云,毛志怀,魏青.基于计算机视觉的作物行定位技术[J].中国农业大学学报,2005,10(3):69-72.
[32] 王宝梁.多功能自主农业机器人研制[D].南京:南京农业大学,2013.
[33] Beeran Kutty S,Saaidin S,Megat Yunus P N A,et al.Evaluation of canny and sobel operator for logo edge detection[C]//International Symposium on Technology Management & Emerging Technologies.IEEE,2014.
[34] 方建军.移动式采摘机器人研究现状与进展[J].农业工程学报,2004,20(2):273-278.
[35] 冀荣华,祁力钧,傅泽田.机器视觉技术在精细农业中的研究进展[J].农机化研究,2007(11):1-5.
[36] Pydipati R,Burks T F,Lee W S.Identification of citrus disease using color texture features and discriminant analysis[J].Computers and Electronics in Agriculture,2006,52(1-2):49-59.
[37] 赖军臣,李少昆,明博,等.作物病害机器视觉诊断研究进展[J].中国农业科学,2009,42(4):1215-1221.
[38] Mayo M,Watson A T.Automatic species identification of live moths[J].Knowledge-Based Systems,2007,20(2):195-202.
[39] 毛罕平,徐贵力,李萍萍.基于计算机视觉的番茄营养元素亏缺的识别[J].农业机械学报,2003,34(2):73-75.
[40] 李亚硕,伊飞,王崇,等.基于机器视觉的田间飞行害虫自动检测方法[J].农业工程,2018,8(3):26-29.
[41] 余烨,李冰飞,张小魏,等.面向RGBD图像的标记分水岭分割[J].中国图象图形学报,2018,21(2):145-154.
[42] 李素,郭兆春,王聪,等.信息技术在农作物病虫害监测预警中的应用综述[J].江苏农业科学,2018,46(22):1-6.
[43] 汪京京,张武.农作物病虫害图像识别技术的研究综述[J].计算机工程与科学,2014,36(7):1363-1370.
[44] 黄勇平,章程辉.计算机视觉技术在农产品检测中的应用[J].农业研究与应用,2007(1):48-50.
[45] Shearer S A,Payne F A.Color and defect sorting of bell peppers using machine vision[J].Transaction Asae,1990,33(6):1245-1250.
[46] Blasco J,Aleixos N,Molt,E.Machine vision system for automatic quality grading of fruit[J].Biosystems Engineering,2003,85(4):415-423.
[47] 安卫.精度和重复性的区别[J].航空精密制造技术,1997(3):24-24.
[48] 基于遗传神经网络的苹果综合分级系统[J].西北农林科技大学学报(自然科学版),2001,29(6):108-111.
[49] Yang Q,Marchant J A.Accurate blemish detection with active contour models[J].Computers & Electronics in Agriculture,1996,14(1):77-89.
[50] 张亚静,Shibusawa S,李民赞.基于机器视觉的番茄内部品质预测[J].农业工程学报,2010,26(s2):366-370.
[51] 郑庆伟.农作物混作技巧[J].农机具之友,2002(2):31-31.
[52] 应义斌,饶秀勤,赵匀,等.机器视觉技术在农产品品质自动识别中的应用研究进展[J].农业工程学报,2000,16(3):4-8.
[53] 徐鹏,陈乃中,杨定.自动识别技术在昆虫分类鉴别研究中的应用[J].应用昆虫学报,2010,47(2):256-262.