[1] 刘敬科, 刁现民. 我国谷子产业现状与加工发展方向[J]. 农业工程技术(农产品加工业), 2013(12):15-17. LIU J K, DIAO X M.Present situation of millet industry and processing development direction in China[J].Agricultural Engineering Technology(Agricultural Products Processing Industry), 2013(12):15-17.(in Chinese) [2] 宋慧, 刘金荣, 王素英, 等. 河南省谷子产业现状与发展对策[J]. 安徽农业科学, 2015, 43(29):331-333. SONG H, LIU J R, WANG S Y, et al.Industry situation and development suggestion of foxtail millet in Henan Province[J]. Journal of Anhui Agricultural Sciences, 2015, 43(29): 331-333.(in Chinese with English abstract) [3] 王丽华. 彰武地区谷子主要病害发病因素及防治方法[J]. 农民致富之友, 2017(20):88. WANG L H.Occurrence factors and prevention methods of major millet diseases in Zhangwu area[J]. Friends of the farmers to get rich, 2017(20):82.(in Chinese) [4] 丁菊梅. 谷子的主要病害及其防治技术[J]. 农业技术与装备, 2013(1):68-70. DING J M.Main diseases of millet and their prevention and control techniques[J].Agricultural Technology and Equipment, 2013(1):68-70.(in Chinese) [5] 张文英. 谷子主要病害及其防治措施[J].现代农业科技, 2013(2):143-144. ZHANG W Y.Main diseases of millet and their control measures[J]. Xiandai Nongye Keji, 2013(2):143-144.(in Chinese with English abstract) [6] 李志勇, 白辉, 王永芳,等. 利用实时荧光定量PCR进行谷子锈病早期检测[C]//中国植物保护学会2016年年会论文集,2016:344-345. ROSELINE P, TAURO C J M, PHD N G. Design and development of fuzzy expert system for integrated disease management in finger millets[J]. International Journal of Computer Applications, 2012,6(1):31-36. [8] 张新仕, 徐俊杰, 王桂荣,等.谷子病虫鸟害调查及防治措施[J]. 河北农业科学, 2014, 18(5):4-7. ZHANG X S, XU J J, WANG G R,et al.Millet diseases and insect pests survey and prevention measures[J].Journal of Hebei Agricultural Sciences, 2014, 18(5):4-7.(in Chinese with English abstract) [9] SU H Q, WENC J. A new algorithm based on super-green features for ostu’s method using image segmentation[C/OL]// World Automation Congress (WAC), 2012.https://www.researchgate.net/publication/261154018_A_new_algorithm_based_on_super-green_features_for_ostu’s_method_using_image_segmentation. [10] 苏伟, 蒋坤萍, 闫安,等. 基于无人机遥感影像的育种玉米垄数统计监测[J]. 农业工程学报, 2018, 34(10):92-98. SU W, JIANG K P, YAN A, et al.Monitoring of planted lines for breeding corn using UAV remote sensing image[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018,34(10): 92-98. (in Chinese with English abstract) [11] 刁智华, 吴贝贝, 毋媛媛,等. 基于最小相切圆和形态学相结合的作物行检测算法[J]. 农机化研究, 2016, 38(5):15-19. DIAO Z H, WU B B, WU Y Y, et al.A crop row detection algorithm based on minimum tangent circle and morphology[J]. Journal of Agricultural Mechanization Research, 2016, 38(5):15-19.(in Chinese with English abstract) [12] 吴亚榕, 李键红. 基于联合稀疏模型的黄瓜病害自动识别[J]. 湖南农业大学学报(自然科学版), 2019, 45(4):444-448. WU Y R, LI J H.Automatic recognition of cucumber disease based on joint sparse model[J]. Journal of Hunan Agricultural University(Natural Science), 2019, 45(4):444-448. (in Chinese with English abstract) [13] 刘媛, 冯全. 葡萄病害的计算机识别方法[J]. 中国农机化学报,2017,38(4):99-104. LIU Y, FENG Q.Identification method of grape diseases based on computer technology[J]. Journal of Chinese Agricultural Mechanization, 2017, 38(4):99-104.(in Chinese with English abstract) [14] 刘艺, 曹建军, 刁兴春,等.稳定特征选择的多目标蚁群优化[J]. 国防科技大学学报, 2018, 40(6):118-123. LIU Y, CAO J J, DIAO X C, et al.Multiobjective ant colony optimization for stable feature selection[J]. Journal of National University of Defense Technology, 2018, 40(6):118-123.(in Chinese with English abstract) [15] SYNA S, MANEERAT N, HAMAMOTO K,et al.Cotton wool spots detection in diabetic retinopathy based on adaptive thresholding and ant colony optimization coupling support vector machine[J].IEEJ Transactions on Electrical and Electronic Engineering,2019,14(6):884-893. [16] 赵一凡, 卞良, 张飞飞. 基于布谷鸟算法优化支持向量机应用于胸痛三联征的分类诊断研究[J]. 生物医学工程研究, 2019, 38(1):54-58. ZHAO Y F, BIAN L, ZHANG F F.Classification and diagnosis of chest pain triad based on Cuckoo search optimized support vector machine[J]. Journal of Biomedical Engineering Research, 2019, 38(1):54-58.(in Chinese with English abstract) [17] 陶涛, 张俊, 信昆仑, 等.基于布谷鸟算法的给水管网调压阀优化设计[J]. 同济大学学报(自然科学版), 2016, 44(4):600-604. TAO T, ZHANG J, XIN K L, et al.Optimal value control in water distribution system based on Cuckoo search[J]. Journal of Tongji University (Natural Science), 2016, 44(4):600-604.(in Chinese with English abstract) [18] 赵坤, 覃锡忠, 贾振红.采用改进的布谷鸟算法优化极限学习机[J].计算机仿真, 2018,35(11):236-241. ZHAO K, QIN X Z, JIA Z H.Optimized extreme learning machine with improved Cuckoo algorithm[J]. Computer Simulation, 2018, 35(11):236-241.(in Chinese with English abstract) [19] ZHANG X B, WANG J Z, ZHANG K Q.Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm[J]. Electric Power Systems Research, 2017, 146(2):270-285. [20] 张红涛, 刘迦南, 谭联,等.基于计算机视觉的棉铃虫成虫雌雄自动判别研究[J]. 环境昆虫学报, 2019, 41(4):908-913. ZHANG H T, LIU J N, TAN L, et al.Study on utomatic discrimination of male and female imagoes of Helicoverpa armigera(Hübner) based on computer vision[J]. Journal of Environmental Entomology, 2019, 41(4):908-913.(in Chinese with English abstract) [21] KAUR P, PANNU H S, MALHI A K.Plant disease recognition using fractional order Zernike moments and SVM classifier[J]. Neural Computing and Applications,2019(2):1-20. [22] 胡玉霞, 张红涛. 基于模拟退火算法-支持向量机的储粮害虫识别分类[J]. 农业机械学报, 2008, 39(9):108-111. HU Y X, ZHANG H T.Recognition of the stored-grain pests based on simulated annealing algorithm and support vector machine[J]. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(9):108-111. (in Chinese with English abstract) |