[1]肖长林,肖悦岩. 番茄晚疫病病斑扩展模式的初步研究[J]. 北京农业大学学报,1991,17(4):79-82.
[2]马德良,汪旭,韩静菲,等. 吉林省玉米灰斑病重要流行环节的初步研究Ⅰ孢子萌发、病斑潜育扩展和寄主抗侵染[J]. 吉林农业大学学报,2007,29(2):123-127.
[3]马海霞,屈直,刘影,等. 白菜黑斑病病斑潜育显症及扩展的初步定量研究[J]. 北方园艺,2013(5):123-125.
[4]段显德. 黄瓜霜霉病斑生长规律的初步研究[J]. 辽东学院学报(自然科学版),2015,22(2):99-101.
[5]卢灿华,吴景芝,马荣,等. 昆明地区玉米灰斑病病斑的扩展规律[J]. 华中农业大学学报,2010,29(4):431-435.
[6]鲁军景,黄文江,张竞成,等. 基于小波特征的小麦白粉病与条锈病的定量识别[J]. 光谱学与光谱分析,2016,36(6):1854-1858.
[7]刁智华,王欢,宋寅卯,等. 复杂背景下棉花病叶害螨图像分割方法[J]. 农业工程学报,2013,29(5):147-152.
[8]Barbedo J G A,Koenigkan L V,Santos T T. Identifying multiple plant diseases using digital image processing[J]. Biosystems Engineering,2016,147:104-116.
[9]Barbedo J G A. A review on the main challenges in automatic plant disease identification based on visible range images[J]. Biosystems Engineering,2016,144:52-60.
[10]Niphadkar N P,Burks T F,Qin J W,et al. Estimation of citrus canker lesion size using hyperspectral reflectance imaging[J]. International Journal of Agricultural and Biological Engineering,2013,6(3):41-51.
[11]田凯,张连宽,熊美东,等. 基于叶片病斑特征的茄子褐纹病识别方法[J]. 农业工程学报,2016,32(增刊1):184-189.
[12]李海春,傅俊范,王新一,等. 玉米大斑病病情发展及病斑扩展时间动态模型的研究[J]. 南京农业大学学报,2005,28(4):50-54.
[13]董庆利,王忻,丁甜,等. 铜绿假单胞菌单细胞与群体细胞生长规律模拟与验证[J]. 农业机械学报,2014,45(9):204-209.
[14]崔党群. Logistic曲线方程的解析与拟合优度测验[J]. 数理统计与管理,2005,24(1):112-115.
[1]司丽丽,闫峰,姚树然,等.基于GIS的小麦白粉病防控气象服务系统的构建与应用[J].江苏农业科学,2014,42(08):131.
Si Lili,et al.Construction and application of meteorological service operation system for wheat powdery mildew based on GIS[J].Jiangsu Agricultural Sciences,2014,42(18):131.
[2]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(18):366.
[3]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(18):64.
[4]王万军,曹世勤,王晓明,等.小麦已知抗白粉病基因在甘肃省的有效性及其在抗病育种中的利用价值[J].江苏农业科学,2016,44(06):187.
Wang Wanjun,et al.Effectiveness of resistance genes to powdery mildew and their using value in wheat breeding in Gansu Province[J].Jiangsu Agricultural Sciences,2016,44(18):187.
[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(18):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(18):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(18):406.
[8]李彤霄.河南省小麦白粉病发生等级预测技术[J].江苏农业科学,2015,43(08):116.
Li Tongxiao.Forecast technology of wheat powdery mildew occurrence degree in Henan Province[J].Jiangsu Agricultural Sciences,2015,43(18):116.
[9]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(18):372.
[10]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(18):375.