Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (15): 2593-2603.doi: 10.3864/j.issn.0578-1752.2019.15.004
• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles Next Articles
WANG JunJie,CHEN Ling,WANG HaiGang,CAO XiaoNing,LIU SiChen,TIAN Xiang,QIN HuiBin,QIAO ZhiJun()
[1] | 王绍华, 吉志军, 刘胜环, 丁艳峰, 曹卫星 . 水稻氮素供需差与不同叶位叶片氮转运和衰老的关系. 中国农业科学, 2003,36(11):1261-1265. |
WANG S H, JI Z J, LIU S H, DING Y F, CAO W X . Relationships between balance of nitrogen supply-demand and nitrogen translocation and senescence of leaves at different positions of rice. Scientia Agricultura Sinica, 2003,36(11):1261-1265. (in Chinese) | |
[2] | 李刚华, 薛利红, 尤娟, 王绍华, 丁艳峰, 吴昊, 杨文祥 . 水稻氮素和叶绿素SPAD 叶位分布特点及氮素诊断的叶位选择. 中国农业科学, 2007,40(6):1127-1134. |
LI G H, XUE L H, YOU J, WANG S H, DING Y F, WU H, YANG W X . Spatial distribution of leaf N content and SPAD value and determination of the suitable leaf for N diagnosis in rice. Scientia Agricultura Sinica, 2007,40(6):1127-1134. (in Chinese) | |
[3] | 李金梦, 叶旭君, 王巧男, 张初, 何勇 . 高光谱成像技术的柑橘植株叶片含氮量预测模型. 光谱学与光谱分析, 2014,34(1):212-216. |
LI J M, YE X J, WANG Q N, ZHANG C, HE Y . Development of prediction models for determining N content in citrus leaves based on hyperspectral imaging technology. Spectroscopy and Spectral Analysis, 2014,34(1):212-216. (in Chinese) | |
[4] | 冯伟, 姚霞, 朱艳, 田永超, 曹卫星 . 基于高光谱遥感的小麦叶片含氮量监测模型研究. 麦类作物学报, 2008,28(5):851-860. |
FENG W, YAO X, ZHU Y, TIAN Y C, CAO W X . Monitoring leaf nitrogen concentration by hyperspectral remote sensing in wheat. Journal of Triticeae Crops, 2008,28(5):851-860. (in Chinese) | |
[5] | 冯伟, 姚霞, 田永超, 朱艳, 刘小军, 曹卫星 . 小麦籽粒蛋白质含量高光谱预测模型研究. 作物学报, 2007,33(12):1935-1942. |
FENG W, YAO X, TIAN Y C, ZHU Y, LIU X J, CAO W X . Predicting grain protein content with canopy hyperspectral remote sensing in wheat. Acta Agronomica Sinica, 2007,33(12):1935-1942. (in Chinese) | |
[6] | 张松, 冯美臣, 杨武德, 王超, 孙慧, 贾学勤, 武改红 . 基于近红外光谱的冬小麦籽粒蛋白质含量检测. 生态学杂志, 2018,37(4):1276-1281. |
ZHANG S, FENG M C, YANG W D, WANG C, SUN H, JIA X Q, WU G H . Detection of grain content in winter wheat based on near infrared spectroscopy. Chinese Journal of Ecology, 2018,37(4):1276-1281. (in Chinese) | |
[7] | 乔瑶瑶, 赵武奇, 胡新中, 李小平 . 近红外光谱技术检测燕麦中蛋白质含量. 中国粮油学报, 2016,31(8):138-142. |
QIAO Y Y, ZHAO W Q, HU X Z, LI X P . Determination of protein content in oat using near-infrared spectroscopy. Journal of the Chinese Cereals and Oils Association, 2016,31(8):138-142. (in Chinese) | |
[8] | 顾志宏 . 基于高光谱的大麦籽粒蛋白质含量遥感预测. 光谱学与光谱分析, 2012,32(2):435-438. |
GU Z H . The prediction of barley grain protein content based on hyperspectral data. Spectroscopy and Spectral Analysis, 2012,32(2):435-438. (in Chinese) | |
[9] |
李振海, 徐新刚, 金秀良, 张竞成, 宋晓宇, 宋森楠, 杨贵军, 王纪华 . 基于氮素运转原理和GRA-PLS算法的冬小麦籽粒蛋白质含量遥感预测. 中国农业科学, 2014,47(19):3780-3790.
doi: 10.3864/j.issn.0578-1752.2014.19.006 |
LI Z H, XU X G, JIN X L, ZHANG J C, SONG X Y, SONG S N, YANG G J, WANG J H . Remote sensing prediction of winter wheat protein content based on nitrogen translocation and GRA-PLS method. Scientia Agricultura Sinica, 2014,47(19):3780-3790. (in Chinese)
doi: 10.3864/j.issn.0578-1752.2014.19.006 |
|
[10] | 贺佳, 刘冰峰, 黎世民, 郭燕, 王来刚, 张彦, 李军 . 不同生育时期冬小麦籽粒蛋白质含量的高光谱遥感监测模型. 中国生态农业学报, 2017,25(6):865-875. |
HE J, LIU B F, LI S M, GUO Y, WANG L G, ZHANG Y, LI J . Winter wheat grain protein content monitoring model driven by hyperspectral remote sensing images at different growth stages. Chinese Journal of Eco-Agriculture, 2017,25(6):865-875. (in Chinese) | |
[11] | 陈鹏飞, 王吉顺, 潘鹏, 徐于月, 姚凌 . 基于氮素营养指数的冬小麦籽粒蛋白质含量遥感反演. 农业工程学报, 2011,27(9):75-80. |
CHEN P F, WANG J S, PAN P, XU Y Y, YAO L . Remote detection of wheat grain protein content using nitrogen nutrition index. Transactions of the Chinese Society of Agricultural Engineering, 2011,27(9):75-80. (in Chinese) | |
[12] | 张新玉, 王颖杰, 刘若西, 申兵辉, 王皎月, 严衍禄, 康定明 . 近红外光谱技术应用于玉米单籽粒蛋白质含量检测分析的初步研究. 中国农业大学学报, 2017,22(5):25-31. |
ZHANG X Y, WANG Y J, LIU R X, SHEN B H, WANG J Y, YAN Y L, KANG D M . Application of near-infrared spectroscopy technology to analyze protein content in single kernel maize seed. Journal of China Agricultural University, 2017,22(5):25-31. (in Chinese) | |
[13] | 张浩, 胡昊, 陈义, 唐旭, 吴春艳, 刘玉学, 杨生茂, 郑可锋 . 水稻叶片氮素及籽粒蛋白质含量的高光谱估测模型. 核农学报, 2012,26(1):135-140. |
ZHANG H, HU H, CHEN Y, TANG X, WU C Y, LIU Y X, YANG S M, ZHENG K F . Estimation nitrogen of rice leaf and protein of rice seed based on hyperspectral data. Journal of Nuclear Agricultural Sciences, 2012,26(1):135-140. (in Chinese) | |
[14] | 李少昆, 谭海珍, 王克如, 肖春华, 谢瑞芝, 高世菊 . 小麦籽粒蛋白质含量遥感监测研究进展. 农业工程学报, 2009,25(2):302-307. |
LI S K, TAN H Z, WANG K R, XIAO C H, XIE R Z, GAO S J . Research progress in wheat grain protein content monitoring using remote sensing. Transactions of the Chinese Society of Agricultural Engineering, 2009,25(2):302-307. (in Chinese) | |
[15] | 妙佳源, 张钰玉, 王孟, 张盼盼, 李夏, 韩浩坤, 刘凤琴, 冯佰利 . 旱区糜子农田冠层高光谱反射特征研究初报. 黑龙江八一农垦大学学报, 2015,27(5):6-9. |
MIAO J Y, ZHANG Y Y, WANG M, ZHANG P P, LI X, HAN H K, LIU F Q, FENG B L . Characteristics of hyperspectral reflectance of broomcorn millet canopy in semi-arid region. Journal of Heilongjiang Bayi Agricultural University, 2015,27(5):6-9. (in Chinese) | |
[16] | 韩浩坤, 妙佳源, 张钰玉, 张大众, 宗国豪, 宫香伟, 李境, 冯佰利 . 基于高光谱反射率的糜子冠层叶片叶绿素含量估算. 干旱地区农业研究, 2018,36(1):164-170. |
HAN H K, MIAO J Y, ZHANG Y Y, ZHANG D Z, ZONG G H, GONG X W, LI J, FENG B L . Estimating chlorophyll content of proso millet canopy by hyperspectral reflectance. Agricultural Research in the Arid Areas, 2018,36(1):164-170. (in Chinese) | |
[17] | YANG H F, LI J L . Predictions of soil organic carbon using laboratory-based hyperspectral data in the northern Tianshan mountains, China. Environmental Monitoring and Assessment, 2013,185(5):3897-3908. |
[18] | GAYDOU V, KISTER J, DUPUY N . Evaluation of multiblock NIR/ MIR PLS predictive models to detect adulteration of diesd/biodiesel blends by vegetal oil. Chemometrics and Intelligent Laboratory Systems, 2011,106(2):190-197. |
[19] | VOHLAND M, BESOLD J, HILL J, FRVND H C . Comparing different multivariate calibration methods for the determination of soil organic carbon pools visible to near infrared spectroscopy. Geoderma, 2011,166:198-205. |
[20] | 陆景陵, 胡霭堂 . 植物营养学. 北京: 高等教育出版社, 2006. |
LU J L, HU A T . Plant Nutrition. Beijing: Higher Education Press, 2006. (in Chinese) | |
[21] | 吴巍, 赵军 . 植物对氮素吸收利用的研究进展. 中国农学通报, 2010,26(13):75-78. |
WU W, ZHAO J . Advances on plants′ nitrogen assimilation and utilization. Chinese Agricultural Science Bulletin, 2010,26(13):75-78. (in Chinese) | |
[22] | 王莉雯, 卫亚星 . 植被氮素浓度高光谱遥感反演研究进展. 光谱学与光谱分析, 2013,33(10):2823-2827. |
WANG L W, WEI Y X . Progress in inversion of vegetation nitrogen concentration by hyperspectral remote sensing. Spectroscopy and Spectral Analysis, 2013,33(10):2823-2827. (in Chinese) | |
[23] | 薛利红, 曹卫星, 罗卫红, 张宪 . 小麦叶片氮素状况与光谱特性的相关性研究. 植物生态学报, 2004,28(2):172-177. |
XUE L H, CAO W X, LUO W H, ZHANG X . Correlation between leaf nitrogen status and canopy spectral characteristics in wheat. Acta Phytoecologica Sinica, 2004,28(2):172-177. (in Chinese) | |
[24] | SELLERS P J . Canopy reflectance, photosynthesis, and transpiration, II. The role of biophysics in the linearity of their interdependence. Remote Sensing of Environment, 1987,21:143-183. |
[25] | 李冬梅, 田纪春, 翟红梅, 张永祥 . 小麦蛋白质含量测定方法比较. 山东农业科学, 2006(3):83-84. |
LI D M, TIAN J C, ZHAI H M, ZHANG Y X . Methods comparison of determining wheat protein. Shandong Agricultral Sciences, 2006(3):83-84. (in Chinese) | |
[26] | 李振海, 杨贵军, 王纪华, 徐新刚, 宋晓宇 . 作物籽粒蛋白质含量遥感监测预报研究进展. 中国农业信息, 2018,30(1):46-54. |
LI Z H, YANG G J, WANG J H, XU X G, SONG X Y . Remote sensing of grain protein content in cereal: A review. China Agricultural Informatics, 2018,30(1):46-54. (in Chinese) | |
[27] | 李映雪, 朱艳, 田永超, 姚霞, 秦晓东, 曹卫星 . 小麦叶片氮含量与冠层反射光谱指数的定量关系. 作物学报, 2006,32(3):358-362. |
LI Y X, ZHU Y, TIAN Y C, YAO X, QIN X D, CAO W X . Quantitative relationship between leaf nitrogen concentration and canopy reflectance spectra. Acta Agronomica Sinica, 2006,32(3):358-362. (in Chinese) | |
[28] |
王纪华, 黄文江, 赵春江, 杨敏华, 王之杰 . 利用光谱反射率估算叶片生化组分和籽粒品质指标研究. 遥感学报, 2003,7(4):277-284.
doi: 10.11834/jrs.20030408 |
WANG J H, HUANG W J, ZHAO C J, YANG M H, WANG Z J . The inversion of leaf biochemical components and grain quality indicators of winter wheat with spectral reflectance. Journal of Remote Sensing, 2003,7(4):277-284. (in Chinese)
doi: 10.11834/jrs.20030408 |
|
[29] | 李映雪, 朱艳, 田永超, 尤小涛, 周冬琴, 曹卫星 . 小麦冠层反射光谱与籽粒蛋白质含量及相关品质指标的定量关系. 中国农业科学, 2005,38(7):1332-1338. |
LI Y X, ZHU Y, TIAN Y C, YOU X T, ZHOU D Q, CAO W X . Relationship of grain protein content and relevant quality traits to canopy reflectance spectra in wheat. Scientia Agricultura Sinica, 2005,38(7):1332-1338. (in Chinese) | |
[30] | 屈莎, 李振海, 邱春霞, 杨贵军, 宋晓宇, 陈召霞, 刘畅 . 基于开花期氮素营养指标的冬小麦籽粒蛋白质含量遥感监测. 农业工程学报, 2017,33(12):186-193. |
QU S, LI Z H, QIU C X, YANG G J, SONG X Y, CHEN Z X, LIU C . Remote sensing prediction of winter wheat grain protein content based on nitrogen nutrition index at anthesis stage. Transactions of the Chinese Society of Agricultural Engineering, 2017,33(12):186-193. (in Chinese) |
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