[1]Shinozaki K,Yamaguchi-Shinozaki K. Gene networks involved in drought stress response and tolerance[J]. Journal of Experimental Botany,2006,58(2):221-227.
[2]吴伯千,潘根生. 茶树对水分胁迫的生理生化反应[J]. 浙江农业大学学报,1995,21(5):451-456.
[3]伍炳华. 茶树水分生理及抗旱性的研究概况与探讨[J]. 茶叶科学简报,1991,32(1):1-5.
[4]张玉顺,路振广,张明智,等. 冬小麦叶片气体交换参数对水分胁迫的响应[J]. 灌溉排水学报,2020,39(12):32-40.
[5]孟兆江,孙景生,刘祖贵,等. 调亏灌溉对冬小麦不同生育阶段光合速率的影响[J]. 麦类作物学报,2011,31(6):1130-1135.
[6]高凡,郑然,郭家选,等. 不同灌溉模式下草莓对水分胁迫的生理响应研究[J]. 灌溉排水学报,2021,40(1):1-6.
[7]夏宣宣,吴芹,张光灿,等. 土壤水分对沙棘光合日变化的影响[J]. 山东建筑大学学报,2015,30(5):441-444.
[8]刘素军,蒙美莲,陈有君,等. 水分胁迫下马铃薯叶片光合特性的变化及其响应机制研究[J]. 西北农林科技大学学报(自然科学版),2018,46(8):29-38.
[9]Tanner C B. Plant temperatures 1[J]. Agronomy Journal,1963,55(2):210-211.
[10]Idso S B,Jackson R D,Pinter P J Jr,et al. Normalizing the stress-degree-day parameter for environmental variability[J]. Agricultural Meteorology,1981,24:45-55.
[11]Erdem Y,Arin L,Erdem T,et al. Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)[J]. Agricultural Water Management,2010,98(1):148-156.
[12]Emekli Y,Bastug R,Buyuktas D,et al. Evaluation of a crop water stress index for irrigation scheduling of bermudagrass[J]. Agricultural Water Management,2007,90(3):205-212.
[13]孙道宗,王卫星,唐劲驰,等. 茶树水分胁迫建模及试验[J]. 排灌机械工程学报,2017,35(1):65-70,79.
[14]Sun D Z,Jiang S,Wang W X,et al. WSN design and implementation in a tea plantation for drought monitoring[C]//2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. Huangshan,China.IEEE,2010:156-159.
[15]李娜,马一薇,杨洋,等. 利用RANSAC算法对建筑物立面进行点云分割[J]. 测绘科学,2011,36(5):144-145,138.
[16]喜文飞,赵子龙,王绍君,等. 一种改进的无人机影像拼接粗差剔除算法[J]. 测绘通报,2021(2):36-39.
[17]袁清珂,张振亚,毕庆. 改进RANSAC算法在直线拟合中的应用[J]. 组合机床与自动化加工技术,2015(1):123-125.
[18]袁国富,罗毅,孙晓敏,等. 作物冠层表面温度诊断冬小麦水分胁迫的试验研究[J]. 农业工程学报,2002,18(6):13-17.
[19]童翠芸,王占林,张得芳,等. 土壤水分含量和光照强度对青海云杉光合特性的影响[J]. 内蒙古农业大学学报(自然科学版),2020,41(6):22-26.
[1]李金,魏艳丽,庞磊,等.茶树咖啡碱合成途径中TCS1、TIDH、SAMS的基因表达量差异及其与咖啡碱含量的相关性[J].江苏农业科学,2013,41(10):21.
Li Jin,et al.Differences in expression of TCS1、TIDH and SAMS genes in caffeine synthetic route of Camellia Sinensis and their correlation with caffeine contents[J].Jiangsu Agricultural Sciences,2013,41(10):21.
[2]朱韦京,余树全,汪赛,等.不同酸雨作用方式对茶树幼苗生长与光合特征参数的影响[J].江苏农业科学,2014,42(10):232.
Zhu Weijing,et al.Effects of different acid rain action modes on growth and photosynthetic parameters of Camellia sinensis seedlings[J].Jiangsu Agricultural Sciences,2014,42(10):232.
[3]干开峰,王俊,张大敏.6LoWPAN无线传感网络温室监测系统的设计[J].江苏农业科学,2014,42(09):371.
Gan Kaifeng,et al.Design of greenhouse wireless monitoring system based on 6LoWPAN sensor network[J].Jiangsu Agricultural Sciences,2014,42(10):371.
[4]柳军,罗克勇,陶建平,等.基于WSN技术的低功耗大棚关键环境因子监控系统[J].江苏农业科学,2014,42(09):377.
Liu Jun,et al.Study on low-power key environmental factors monitoring system of greenhouse based on WSN technology[J].Jiangsu Agricultural Sciences,2014,42(10):377.
[5]阴国富.基于光载无线交换技术的渭南智慧农业系统研究[J].江苏农业科学,2014,42(08):414.
Yin Guofu.Study on wisdom agriculture system in Weinan City,Shaanxi Province based on radio-over-fiber exchange technology[J].Jiangsu Agricultural Sciences,2014,42(10):414.
[6]李飞飞,缪祎晟,吴华瑞,等.农田能量异构无线传感器网络簇首选择机制[J].江苏农业科学,2014,42(08):400.
Li Feifei,et al.Cluster head selection mechanism of farmland energy heterogeneous wireless sensor networks[J].Jiangsu Agricultural Sciences,2014,42(10):400.
[7]李荣林,李珍珍,杨亦扬,等.以诱导抗性为基础的茶树病虫害控制新技术[J].江苏农业科学,2013,41(11):145.
Li Ronglin,et al.New diseases and insect pests control techniques for tea tree based on induced resistance[J].Jiangsu Agricultural Sciences,2013,41(10):145.
[8]王雪萍,龚自明,高士伟,等.ABT1号生根粉对茶树穴盘扦插生根的影响[J].江苏农业科学,2013,41(11):277.
Wang Xueping,et al.Effect of rooting powder ABT1 on rooting of tea tree plug seedlings[J].Jiangsu Agricultural Sciences,2013,41(10):277.
[9]周萌,李友勇,孙雪梅,等.基于EST-SSR标记的云南野生茶树遗传多样性分析[J].江苏农业科学,2013,41(12):22.
Zhou Meng,et al.Genetic diversity analysis of wild tea trees in Yunnan Province based on EST-SSR markers[J].Jiangsu Agricultural Sciences,2013,41(10):22.
[10]盖之华,施连敏,陈志峰.基于无线传感器网络的河蟹病原体监测系统[J].江苏农业科学,2015,43(11):510.
Gai Zhihua,et al.Design of crabs pathogen monitoring system based on wireless sensor networks[J].Jiangsu Agricultural Sciences,2015,43(10):510.