[1]陈汗青,万艳玲,王国刚. 数字图像处理技术研究进展[J]. 工业控制计算机,2013,26(1):72-74. [2]Macdonakl R B.The LACIE symposium[C]∥Lyndon B. Johnson Space Center,National Aeronautics and Space Administration.Houston:NASA,1979. [3]Hallum C R. Experiment design overview[C]∥Proceedings of The Large Area Crop Inventory Experiment (LACIE) Symposium.Houston,Texas:NASA/JSC,1978. [4]ECJRC.The monitoring agricultural resources[EB/OL]. [2010-02-03]. http:∥mars.jrc.ec.europa.eu. [5]ECJR.MARS uniaboutus[EB/OL]. [2010-02-05]. http:∥mars.jrc.It /mars/About-us. [6]GEO.Developing a strategy for global agricultural monitoring in the frame work of Group on Earth Observations (GEO) workshop report[R]. 2007. [7]袁超. 中国农地制度创新[J]. 农业经济问题,2000,21(11):45-47. [8]吴炳方. 全国农情监测与估产的运行化遥感方法[J]. 地理学报,2000,55(1):25-35. [9]刘峰,李存军,董莹莹,等. 基于遥感数据与作物生长模型同化的作物长势监测[J]. 农业工程学报,2011,27(10):101-106. [10]Chesmore D,Bernard T,Inman A J,et al.Image analysis for the identification of the quarantine pest Tilletia indica[J]. Eppo Bulletin,2003,33(3):495-499. [11]El-Helly M,El-Belagy S,Rafea A.Image analysis based interface for diagnostic expert systems[C]. Proceedings of the Winter International Symposium on Information and Communication Technologies. Trinity College Dublin,2004:1-6. [12]王树文,张长利. 基于图像处理技术的黄瓜叶片病害识别诊断系统研究[J]. 东北农业大学学报,2012,43(5):69-73. [13]彭占武,司秀丽,王雪,等. 基于图像处理和模糊聚类方法的黄瓜霜霉病识别研究[J]. 中国农机化学报,2013,34(2):212-216. [14]宁惠刚. 基于单片机的作物营养诊断专家系统研究[D]. 晋中:山西农业大学,2005. [15]Gautam R,Panigrahi S.Image processing techniques and neural network models for predicting plant nitrate using aerial images[J]. Proceedings of the International Joint Conference on Neural Networks,2003,2:1031-1036. [16]张彦娥,李民赞,张喜杰,等. 基于计算机视觉技术的温室黄瓜叶片营养信息检测[J]. 农业工程学报,2005,21(8):102-105. [17]杨雪. 基于数字图像处理的植株缺素种类识别技术研究[D]. 天津:天津理工大学,2015. [18]Benson E R,Reid J F,Zhang Q.Machine vision-based guidance system for agricultural grain harvesters using cut-edge detection[J]. Biosystems Engineering,2003,86(4):389-398. [19]Hayashi S.Evaluation of a strawberry harvesting robot in a field test[J]. Biosystems Engineering,2010,105(2):160-171. [20]吕继东. 苹果采摘机器人视觉测量与避障控制研究[D]. 镇江:江苏大学,2012. [21]徐建,杨福增,苏乐乐,等. 玉米智能收获机器人的路径识别方法[J]. 农机化研究,2010,32(2):9-12. [22]Ling R P,Searcy S W.Feature extraction for a machine-vision-based shrimp deheader[J]. Trans of the ASAE,1991,34(6):2631-2636. [23]MaConnell R K,Blau H H.Color classification of non-uniform baked and roasted foods[M]. Chicago,Illinois:Proceeding Soft the FPAC IV Comerence,1995:40-46. [24]刘艳丽. 基于图像处理的小麦精度自动检测[D]. 郑州:河南工业大学,2010. [25]周林妹. 数字图像边缘检测算法及其在农产品加工中的应用[J]. 食品与机械,2009,25(3):139-142. [26]Hoffmaster A L,Fujimura K,McDonald M B,et al. An automated system for vigor testing three-day-old soybean seedlings[J]. Seed Science and Technology,2003,31(3):701-713. [27]李振,廖同庆,冯青春,等. 基于图像处理技术的黄瓜种子活力指数检测系统设计[J]. 种子,2015,34(6):111-115. [28]孙宏佳,房国志. 基于机器视觉的花生种子自动识别的系统设计[D]. 哈尔滨:哈尔滨理工大学,2014. [29]Thomas P,Kannan A,Degwekar V H,et al.Non-destructive detection of seed weevil infested mango fruits by X-ray imaging[J]. Postharvest Biology and Technology,1995,5(1/2):161-165. [30]王江枫,罗锡文. 计算机视觉技术在芒果重量及果面坏损检测中的应用[J]. 农业工程学报,1998,14(4):186-189. [31]陶凯. 不同颜色光源下苹果分级的计算机视觉方法[D]. 洛阳:河南科技大学,2012. [32]刘仲鹏,李文华. 基于图像处理和特征优选的玉米品质识别[J]. 江苏农业科学,2015,43(3):382-385. [33]李治宇,周岭,石长青,等. 基于图像处理-HSI颜色空间的木醋液对牛粪堆肥过程H分量模型探究[J]. 江苏农业科学,2016,44(1):399-403.
[1]缪祎晟,吴华瑞,朱华吉,等.基于高精度GPS的农村土地流转信息采集终端设计[J].江苏农业科学,2014,42(09):382.
Miao Yisheng.Design of rural land circulation information collection terminal based on high-precision GPS[J].Jiangsu Agricultural Sciences,2014,42(22):382.
[2]刘永华,俞卫东,沈明霞,等.智能化精准灌溉施肥技术研究现状与展望[J].江苏农业科学,2014,42(08):384.
Liu Yonghua,et al.Research status and prospects of intellectualized precise irrigation and fertilization techniques[J].Jiangsu Agricultural Sciences,2014,42(22):384.
[3]田昊,王维新,毕新胜,等.基于图像处理的机采棉杂质提取算法[J].江苏农业科学,2014,42(01):366.
Tian Hao,et al.Study on impurities extraction algorithm of machine-harvested cotton based on image processing[J].Jiangsu Agricultural Sciences,2014,42(22):366.
[4]田孟祥,张时龙,何友勋,等.1种快速高效的水稻谷粒自动计数方法[J].江苏农业科学,2014,42(02):64.
Tian Mengxiang,et al.A quick and efficient automatic counting method for rice grains[J].Jiangsu Agricultural Sciences,2014,42(22):64.
[5]关强,薛河儒,姜新华.基于二维OTSU的田间植物图像分割方法[J].江苏农业科学,2015,43(12):437.
Guan Qiang,et al.Segmentation of field plant image based on two-dimensional OTSU[J].Jiangsu Agricultural Sciences,2015,43(22):437.
[6]梁帆,杨莉莉,崔世钢,等.基于神经网络的油菜成熟度等级视觉检测方法[J].江苏农业科学,2015,43(08):403.
Liang Fan,et al.Visual inspection method of rapeseed maturity level based on neural networks[J].Jiangsu Agricultural Sciences,2015,43(22):403.
[7]夏永泉,李耀斌,曾莎.基于HSI颜色空间的植物叶片病斑提取方法[J].江苏农业科学,2015,43(08):406.
Xia Yongquan,et al.Disease spot extraction method of plant leaf based on HSI color space[J].Jiangsu Agricultural Sciences,2015,43(22):406.
[8]邓立苗,马文杰.基于支持向量机的玉米叶片品种识别[J].江苏农业科学,2014,42(06):372.
Deng Limiao,et al.Study on corn leaf recognition based on support vector machine[J].Jiangsu Agricultural Sciences,2014,42(22):372.
[9]希仁娜·亚森,李湘,吴炜.苹果绵蚜远程图像识别系统的开发与实现[J].江苏农业科学,2014,42(06):375.
Xirenna Yasen,et al.Development and implementation of remote image recognition system of Eriosoma lanigerum[J].Jiangsu Agricultural Sciences,2014,42(22):375.
[10]丁竹青,李晓良,张若宇,等.基于LabVIEW Vision的加工番茄表面霉斑缺陷检测[J].江苏农业科学,2015,43(05):302.
Ding Zhuqing,et al.Study on mildew defect detection of processing tomato based on LabVIEW Vision[J].Jiangsu Agricultural Sciences,2015,43(22):302.