[1] NJIRA K O W, NABWAMI J. A review of effects of nutrient elements on crop quality[J]. African Journal of Food Agriculture Nutrition & Development, 2015, 15(1):9777-9783. [2] NYABUNDI K W, OWUOR P O, NETONDO G W, et al.Genotype and environment interactions of yields and yield components of tea (Camellia sinensis) cultivars in Kenya[J]. American Journal of Plant Sciences, 2016, 7(6): 855-869. [3] 黄海涛,余继忠,王贤波,等.不同抗寒性茶树品种秋季新梢的生理特性研究[J]. 浙江农业学报, 2014,26(4): 925-928. HUANG H T, YU J Z, WANG X B, et al.Study on physiological characters of new shoot in different cold-resistant tea varieties in autumn[J]. Acta Agriculturae Zhejiangensis,2014,26(4): 925-928.(in Chinese with English abstract) [4] 詹杰, 李振武, 邓素芳, 等. 茶草互作模式下茶园环境及茶树生长的初步变化[J]. 草业科学, 2018, 35(11): 2694-2703. ZHAN J, LI Z W, DENG S F, et al.Preliminary variations in the environment of tea gardens and tea growth on the tea-grass interaction mode[J]. Pratacultural Science, 2018, 35(11): 2694-2703.(in Chinese with English abstract) [5] 倪军, 姚霞, 田永超, 等. 便携式作物生长监测诊断仪的设计与试验[J]. 农业工程学报, 2013, 29(6): 150-156. NI J, YAO X, TIAN Y C, et al.Design and experiments of portable apparatus for plant growth monitoring and diagnosis[J]. Transactions of the CSAE, 2013, 29(6): 150-156.(in Chinese with English abstract) [6] 陈魏涛, 曹宏鑫, 张保军, 等. 氮素营养诊断技术及其在油菜上的应用研究进展[J]. 江苏农业学报, 2016, 32(4): 953-960. CHEN W T, CAO H X, ZHANG B J, et al.Research progresses in nitrogen diagnosis technology and its application in rapeseed[J]. Jiangsu Journal of Agricultural Sciences, 2016, 32(4): 953-960.(in Chinese with English abstract) [7] 张琴, 黄文江, 许童羽, 等. 小麦苗情远程监测与诊断系统[J]. 农业工程学报, 2011, 27(12): 115-119. ZHANG Q, HUANG W J, XU T Y, et al.Monitoring and diagnosis system for wheat growth with remote sensing and sensor technology[J]. Transactions of the CSAE, 2011, 27(12): 115-119.(in Chinese with English abstract) [8] 郑纪业, 阮怀军, 封文杰, 等. 农业物联网体系结构与应用领域研究进展[J]. 中国农业科学, 2017, 50(4): 657-668. ZHENG J Y, RUAN H J, FENG W J, et al.Agricultural IOT architecture and application model research[J]. Scientia Agricultura Sinica, 2017, 50(4): 657-668.(in Chinese with English abstract) [9] WANG M J, ZHOU J. Studies on the optical measuring system for grape stem diameter[J]. Applied Mechanics and Materials, 2014, 568/569/570: 65-70. [10] 郭斯羽, 周乐前, 温和. 长叶柄轴对称植物叶片长度的图像测量方法[J]. 电子测量与仪器学报, 2015, 29(6): 866-873. GUO S Y, ZHOU L Q, WEN H.Image-based length measurement method of axially symmetric plant leaves with elongated petiole[J]. Journal of Electronic Measurement and Instrumentation, 2015, 29(6): 866-873.(in Chinese with English abstract) [11] GUNES E O, AYGUN S.Growth monitoring of plants using active contour technique[C]//2017 6th International Conference on Agro-Geoinformatics, August 7-10, 2017. Fairfax, VA, USA. Washington: IEEE Computer Society. 2017. [12] 马浚诚, 刘红杰, 郑飞翔, 等. 基于可见光图像和卷积神经网络的冬小麦苗期长势参数估算[J]. 农业工程学报, 2019, 35(5): 183-189. MA J C, LIU H J, ZHENG F X, et al.Estimating growth related traits of winter wheat at seedling stages based on RGB images and convolutional neural network[J]. Transactions of the CSAE, 2019, 35(5): 183-189.(in Chinese with English abstract) [13] 王娟, 危常州, 万丹, 等. 应用灰板校正提高计算机视觉预测棉花植株含水量的精确度[J]. 棉花学报, 2015, 27(3): 275-282. WANG J, WEI C Z, WAN D, et al.Gray broad calibration may increase precision in the prediction of cotton water content based on computer version[J]. Cotton Science, 2015, 27(3): 275-282.(in Chinese with English abstract) [14] 江朝晖, 杨春合, 周琼, 等. 基于图像特征的越冬期冬小麦冠层含水率检测[J]. 农业机械学报, 2015, 46(12): 260-267. JIANG Z H, YANG C H, ZHOU Q, et al.Detection of canopy water content of winter wheat during wintering period based on image features[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(12): 260-267.(in Chinese with English abstract) [15] 石媛媛, 邓劲松, 陈利苏, 等. 利用计算机视觉和光谱分割技术进行水稻叶片钾胁迫特征提取与诊断研究[J]. 光谱学与光谱分析, 2010, 30(1): 214-219. SHI Y Y, DENG J S, CHEN L S, et al.Leaf characteristics extraction of rice under potassium stress based on static scan and spectral segmentation technique[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 214-219.(in Chinese with English abstract) [16] SILVA F F, LUZ P H C, ROMUALDO L M, et al. A diagnostic tool for magnesium nutrition in maize based on image analysis of different leaf sections[J]. Crop Science, 2014, 54(2):738-745. [17] 李岚涛, 张萌, 任涛, 等. 应用数字图像技术进行水稻氮素营养诊断[J]. 植物营养与肥料学报, 2015, 21(1): 259-268. LI L T, ZHANG M, REN T, et al.Diagnosis of N nutrition of rice using digital image processing technique[J]. Journal of Plant Nutrition and Fertilizer, 2015, 21(1): 259-268.(in Chinese with English abstract) [18] 高铭远. 利用叶片颜色判断土壤养分方法的研究[J]. 电子测量技术, 2016, 39(11): 173-177. GAO M Y.Study on the method of determination of soil nutrients by leaf color[J]. Electronic Measurement Technology, 2016, 39(11): 173-177.(in Chinese with English abstract) [19] 陈佳悦, 姚霞, 黄芬, 等. 基于图像处理的冬小麦氮素监测模型[J]. 农业工程学报, 2016, 32(4): 163-170. CHEN J Y, YAO X, HUANG F, et al.N status monitoring model in winter wheat based on image processing[J]. Transactions of the CSAE, 2016, 32(4): 163-170.(in Chinese with English abstract) [20] 王彦翔, 张艳, 杨成娅, 等. 基于深度学习的农作物病害图像识别技术进展[J]. 浙江农业学报, 2019, 31(4): 669-676. WANG Y X, ZHANG Y, YANG C Y, et al.Advances in new nondestructive detection and identification techniques of crop diseases based on deep learning[J]. Acta Agriculturae Zhejiangensis, 2019, 31( 4) : 669-676.(in Chinese with English abstract) [21] REVATHI P, HEMALATHA M.Classification of cotton leaf spot diseases using image processing edge detection techniques[C]// International Conference on Emerging Trends in Science, Engineering & Technology. December 13-14. 2012. Tiruchirappalli, India. Washington: IEEE Computer Society. 2012. [22] TARDAGUILA J, DIAGO M P, MILLAN B, et al.Applications of computer vision techniques in viticulture to assess canopy features, cluster morphology and berry size[J]. Acta Horticulturae, 2013(978): 77-84. [23] 袁道军, 刘安国, 原保忠, 等. 基于计算机视觉技术的油菜冠层营养信息监测[J]. 农业工程学报, 2009, 25(12): 174-179. YUAN D J, LIU A G, YUAN B Z, et al.Nutrition information extraction of rape canopy based on computer-vision technology[J]. Transactions of the CSAE, 2009, 25(12): 174-179.(in Chinese with English abstract) [24] RAMCHARAN A, BARANOWSKI K, MCCLOSKEY P, et al.Deep learning for image-based cassava disease detection[J]. Frontiers in Plant Science, 2017, 8: 1852. [25] 赵鹏, 韦兴竹. 基于多特征融合的田间杂草分类识别[J]. 农业机械学报, 2014, 45(3): 275-281. ZHAO P, WEI X Z.Weed recognition in agricultural field using multiple feature fusions[J]. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(3): 275-281. ( in Chinese with English abstract) [26] 邓向武, 齐龙, 马旭, 等. 基于多特征融合和深度置信网络的稻田苗期杂草识别[J]. 农业工程学报, 2018, 34(14): 165-172. DENG X W, QI L, MA X, et al.Recognition of weeds at seedling stage in paddy fields using multi-feature fusion and deep belief networks[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(14):165-172. (in Chinese with English abstract) [27] SWAIN K C, ZAMAN Q U, SCHUMANN A W, et al.Computer vision system for wild blueberry fruit yield mapping[J]. Biosystems Engineering, 2010, 106(4): 389-394. [28] GONG A P, YU J L, HE Y, et al.Citrus yield estimation based on images processed by an Android mobile phone[J]. Biosystems Engineering, 2013, 115(2): 162-170. [29] 李毅念, 杜世伟, 姚敏, 等. 基于小麦群体图像的田间麦穗计数及产量预测方法[J]. 农业工程学报, 2018, 34(21): 185-194. LI Y N, DU S W, YAO M, et al.Method for wheatear counting and yield predicting based on image of wheatear population in field[J]. Transactions of the CSAE, 2018, 34(21): 185-194.(in Chinese with English abstract) [30] 刘双喜, 王金星, 张菡, 等. 玉米杂交种子纯度识别的色彩区域选取研究[J]. 仪器仪表学报, 2016, 37(增刊1): 40-45. LIU S X, WANG J X, ZHANG H, et al.Research on color region selection of purity identification of Maize hybrid[J]. Chinese Journal of Scientific Instrument, 2016, 37(Suppl.1): 40-45.(in Chinese with English abstract) [31] 王丽丽, 魏舒, 赵博, 等. 基于Niblack自适应修正系数的温室成熟番茄目标提取方法[J]. 农业工程学报, 2017, 33(增刊1): 322-327. WANG L L, WEI S, ZHAO B, et al.Target extraction method of ripe tomato in greenhouse based on Niblack self-adaptive adjustment parameter[J]. Transactions of the CSAE, 2017, 33(Suppl.1): 322-327.(in Chinese with English abstract) [32] WAN P, TOUDESHKI A, TAN H Q, et al.A methodology for fresh tomato maturity detection using computer vision[J]. Computers and Electronics in Agriculture, 2018, 146: 43-50. [33] 杨亦扬, 马立锋, 石元值, 等. 叶绿素仪(SPAD)在茶树氮素营养诊断中的适用性研究[J]. 茶叶科学, 2008, 28(4): 301-308. YANG Y Y, MA L F, SHI Y Z, et al.Evaluation of nitrogen status in tea plants by SPAD[J]. Journal of Tea Science, 2008, 28(4): 301-308.(in Chinese with English abstract) [34] 刘琼, 史诺. 基于Lab和YUV颜色空间的农田图像分割方法[J]. 国外电子测量技术, 2015, 34(4): 39-41. LIU Q, SHI N.Farmland image segmentation based on Lab and YUV color spaces[J]. Foreign Electronic Measurement Technology, 2015, 34(4): 39-41.(in Chinese with English abstract) [35] 蒯志敏, 程佳, 王建根, 等. 影响碧螺春茶叶采摘的天气类型分析[J]. 中国农业气象, 2010, 31(增刊1): 104-106. KUAI Z M, CHENG J, WANG J G, et al.Analysis of weather types affecting the picking time of biluochun tea[J]. Chinese Journal of Agrometeorology, 2010, 31(Suppl.1): 104-106.(in Chinese with English abstract) [36] 孟永军, 沈桑, 章莹菁. 桐庐县冬春季气温对春茶的影响及防冻措施探讨[J]. 浙江农业科学, 2011, 52(3): 547-551. MENG Y J, SHEN S, ZHANG Y J.Effect of wintry spring temperature on spring tea and discussion on antifreezing measures in Tonglu County[J]. Journal of Zhejiang Agricultural Sciences, 2011, 52(3): 547-551.(in Chinese) |