作物水分智能管理研究进展

doi:10.16035/j.issn.1001-7283.2017.05.002

摘要/Abstract

摘要：

在作物生长发育过程中,水分的多少对作物的生长起着至关重要的作用,能否及时监测和管理水分信息是实现作物高产优质的保障。因此,以水稻、小麦、玉米等作物为例,阐述了水分对其生长发育的影响。归纳了几种作物水分智能管理的方法,包括图像识别技术、传感技术、作物模型、“3S”技术和物联网技术。总结了作物水分智能管理技术存在的问题,并对作物水分智能管理的发展前景进行了展望。以期为作物水分智能监测与管理提供参考。

关键词: 作物, 水分, 农业信息技术, 农业物联网, 智能管理

Abstract:

In the process of crop growth and development, the amount of water used on the growth of crops plays a vital role in the timely monitoring and management of water information to achieve high yield and high quality crop protection. Therefore, taking rice, wheat, maize, and cotton as examples, we described the effects of water on crop growth and development. Several methods of intelligent management of crop moisture were summarized, including image recognition technology, sensing technology, crop model, "3S" technology and internet of things technology. The problems of crop moisture intelligent management technology were summarized, and the development prospect of crop water intelligent management was prospected. And it could provide a reference for the future application of crop water intelligent monitoring and management.

Key words: Crop, Water, Agricultural information technology, Agricultural internet of things, Intelligent management

周彤,陈雯,秦培亮,刘涛,孙成明. 作物水分智能管理研究进展[J]. 作物杂志, 2017 (5): 7–13

Tong Zhou,Wen Chen,Peiliang Qin,Tao Liu,Chengming Sun. Research Progress on Crop Water Intelligent Management[J]. Crops, 2017(5): 7–13

参考文献 61

[1]	邱兆美, 赵龙, 毛鹏军 , 等. 不同缺水量对作物生理指标的影响研究. 中国农机化学报, 2016,37(4):260-263. doi: 10.13733/j.jcam.issn.2095-5553.2016.04.057
[2]	孙梅霞, 祖朝龙, 徐经年 . 干旱对植物影响的研究进展. 安徽农业科学, 2004,32(2):365-367.
[3]	Bouman B A M, Tuong T P . Field water management to save water and increase its productivity in irrigated lowland rice. Agricultural Water Management, 2001,49(1):11-30. doi: 10.1016/S0378-3774(00)00128-1
[4]	康绍忠, 蔡焕杰, 冯绍元 . 现代农业与生态节水的技术创新与未来研究重点. 农业工程学报, 2004,20(1):1-6. doi: 10.3321/j.issn:1002-6819.2004.01.001
[5]	John J, Palaparthy V S, Sarik S , et al. Design and implementation of a soil moisture wireless sensor network.Mumbai, India:IEEE, 2015: 1-6.
[6]	王文焰 . 我国北方旱作节水灌溉技术的研究与发展.河北工程技术高等专科学校学报, 2001(4):1-5. doi: 10.3969/j.issn.1008-3782.2001.04.001
[7]	吴霁 . 水分对作物生长发育的影响. 科海故事博览·科技探索, 2010: 111.
[8]	吴学祝, 蔡昆争, 骆世明 . 不同生育时期水分胁迫对水稻植株形态、干物质积累及产量的影响. 全国水稻优质高产理论与技术研讨会, 2008.
[9]	王泽杰, 陈永军, 谢崇华 , 等. 不同生育期水分胁迫对杂交水稻光合及产量性状的影响. 干旱地区农业研究, 2008,26(6):138-142.
[10]	王贺正, 徐国伟, 马均 , 等. 水分胁迫对水稻生长发育及产量的影响.中国种业, 2009(1):47-49. doi: 10.3969/j.issn.1671-895X.2009.01.019
[11]	汪妮娜, 黄敏, 陈德威 , 等. 不同生育期水分胁迫对水稻根系生长及产量的影响. 热带作物学报, 2013,34(9):1650-1656. doi: 10.3969/j.issn.1000-2561.2013.09.005
[12]	蔡昆争, 吴学祝, 骆世明 , 等. 不同生育期水分胁迫对水稻根系活力、叶片水势和保护酶活性的影响. 华南农业大学学报, 2008,29(2):7-10. doi: 10.3969/j.issn.1001-411X.2008.02.002
[13]	Srivalli B, Sharma G, Khanna-Chopra R . Antioxidative defense system in an upland rice cultivar subjected to increasing intensity of water stress followed by recovery. Physiologia Plantarum, 2003,119(4):503-512. doi: 10.1046/j.1399-3054.2003.00125.x
[14]	Jung S, Back K . Herbicidal and antioxidant responses of transgenic rice overexpressing Myxococcus xanthus protoporphyrinogen oxidase. Plant Physiology & Biochemistry, 2005,43(5):423-430.
[15]	姚宁, 宋利兵, 刘健 , 等. 不同生长阶段水分胁迫对旱区冬小麦生长发育和产量的影响. 中国农业科学, 2015,48(12):2379-2389. doi: 10.3864/j.issn.0578-1752.2015.12.011
[16]	孙宏勇, 刘昌明, 张永强 , 等. 不同时期干旱对冬小麦产量效应和耗水特性研究.灌溉排水学报, 2003(2):13-16.
[17]	Huang C X, Chai S X, Zhao D M , et al. Effects of irrigation on grain yield and water use efficiency of winter wheat. Acta Prataculturae Sinica, 2010,19(5):196-203. doi: 10.3724/SP.J.1142.2010.40491
[18]	Xiao J F, Liu Z D, Duan A W , et al. Studies on effects of irrigation systems on the grain yield constituents and water use efficiency of winter wheat. Journal of Irrigation & Drainage, 2006,25(2):20-23.
[19]	贾树龙, 刘春田 . 水分胁迫条件下小麦的产量反应及对养分的吸收特征.土壤通报, 1995(1):6-8.
[20]	高丽华, 孙书洪 . 不同时期水分胁迫对冬小麦产量及形态指标的影响研究.节水灌溉, 2014(7):1-3.
[21]	罗爱花, 郭贤仕, 柴守玺 . 水分胁迫对不同类型春小麦水分利用效率和光合日变化的影响. 甘肃农大学报, 2008,43(4):68-73.
[22]	刘桂茹, 陈秀珍, 段文倩 . 水分胁迫下小麦叶片渗透调节能力与品种抗旱性的关系. 河北农业大学学报, 2002,25(2):1-3. doi: 10.3969/j.issn.1000-1573.2002.02.001
[23]	关义新, 戴俊英, 徐世昌 , 等. 玉米花期干旱及复水对植株补偿生长及产量的影响. 作物学报, 1997,23(6):740-745.
[24]	Sinclair T R, Bennett J M, Muchow R C . Relative sensitivity of grain yield and biomass accumulation to drought in field-grown maize. Crop Science, 1990,30(3):690-693. doi: 10.2135/cropsci1990.0011183X003000030043x
[25]	葛体达, 隋方功, 白莉萍 , 等. 不同土壤水分对玉米光合特性和产量的影响. 上海交通大学学报(农业科学版), 2005,23(2):143-147. doi: 10.3969/j.issn.1671-9964.2005.02.008
[26]	张英普, 何武权, 韩健 . 水分胁迫对玉米生理生态特性的影响.水资源与水工程学报, 1999(3):18-21.
[27]	李少昆, 陈天茹, 肖璐 , 等. 不同时期干旱胁迫对棉花生长和产量的影响Ⅰ.棉花受旱减产原因分析. 石河子大学学报(自然科学版), 1999,3(3):8-12.
[28]	李少昆, 肖璐, 黄文华 , 等. 不同时期干旱胁迫对棉花生长和产量的影响:Ⅱ棉花生长发育及生理特性的变化. 石河子大学学报(自然科学版), 1999,3(4):261-264.
[29]	孙红春 . 不同棉花品种对水分胁迫的形态、生理生化反应. 保定:河北农业大学, 2015.
[30]	Ahmad I S, Reid J F . Evaluation of colour representations for maize images. Journal of Agricultural Engineering Research, 1996,63(3):185-195. doi: 10.1006/jaer.1996.0020
[31]	蔡鸿昌, 崔海信, 高丽红 , 等. 基于颜色特征的叶片含水率与比叶重估算模型初探. 中国农学通报, 2006,22(8):532-535. doi: 10.3969/j.issn.1000-6850.2006.08.130
[32]	王方永, 王克如, 王崇桃 , 等. 基于图像识别的棉花水分状况诊断研究. 石河子大学学报(自然科学版), 2007,25(4):404-407.
[33]	Zakaluk R, Ranjan R S . Artificial neural network modelling of leaf water potential for potatoes using rgb digital images:a greenhouse study. Potato Research, 2006,49(4):255-272.
[34]	彭文, 李庆武, 霍冠英 , 等. 基于计算机视觉的植物水分胁迫状况监测方法. 科学技术与工程, 2013,13(9):2313-2317. doi: 10.3969/j.issn.1671-1815.2013.09.001
[35]	张南, 李杰, 郝慧鹏 . 基于叶片高度信息的植物水分监控.电子技术与软件工程, 2013(22):106-107.
[36]	Wang W, Luo X, Ou Y , et al. Preliminary research on model for determining crop water stress index of flowering Chinese cabbage based on canopy temperature. Transactions of the Chinese Society of Agricultural Engineering, 2003,19(5):47-50.
[37]	曹元军, 王新忠 . 基于作物冠层温度变化的无线传感器网络灌溉系统的研究. 农机化研究, 2010,32(9):126-129.
[38]	张寄阳, 段爱旺, 孟兆江 , 等. 基于茎直径变化的作物水分状况监测研究进展. 中国农业气象, 2004,25(4):11-13.
[39]	高峰, 俞立, 张文安 , 等. 基于作物水分胁迫声发射技术的无线传感器网络精量灌溉系统的初步研究. 农业工程学报, 2008,24(1):60-63.
[40]	肖克辉, 肖德琴, 罗锡文 . 基于无线传感器网络的精细农业智能节水灌溉系统. 农业工程学报, 2010,26(11):170-175. doi: 10.3969/j.issn.1002-6819.2010.11.030
[41]	高亮之 . 农业模型学基础. 上海:天马图书有限公司, 2004.
[42]	Ling P P, Yang Y . Improved model inversion procedure for plant water status assessment under artificial lighting using prospect+sail. Transactions of the Asae, 2004,47(5):1833-1840. doi: 10.13031/2013.17600
[43]	Baker D N, Hesketh J D, Duncan W G . Simulation of growth and yield in cotton:I. gross photosynthesis,respiration,and growth. Crop Science, 1972,12(4):431-435. doi: 10.2135/cropsci1972.0011183X001200040010x
[44]	Lemmon H, Ning C . Object-oriented design of a cotton crop model. Ecological Modelling, 1997,94(1):45-51. doi: 10.1016/S0304-3800(96)01927-8
[45]	Shibayama M, Takahashi W, Morinaga S , et al. Canopy water deficit detection in paddy rice using a high resolution field spectroradiometer. Remote Sensing of Environment, 1993,45(2):117-126. doi: 10.1016/0034-4257(93)90036-W
[46]	Chao C, Wang E, Yu Q . Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agricultural Water Management, 2010,97(8):1175-1184. doi: 10.1016/j.agwat.2008.11.012
[47]	Wang X L, Sun Y F, Song L G , et al. An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms.Part I.Model development. Journal of Environmental Management, 2009,90(8):2628-2635.
[48]	徐更琪, 吴普特, 韩文霆 . 基于GPRS的作物水分信息远程传输与监测系统设计.农业网络信息, 2008(10):13-16. doi: 10.3969/j.issn.1672-6251.2008.10.004
[49]	Liu J . A GIS-based tool for modelling large-scale crop-water relations. Environmental Modelling & Software, 2009,24(3):411-422. doi: 10.1016/j.envsoft.2008.08.004
[50]	Immerzeel W W, Gaur A, Zwart S J . Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment. Agricultural Water Management, 2008,95(1):11-24. doi: 10.1016/j.agwat.2007.08.006
[51]	Zwart S J , Bastiaanssen W G M.SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems. Agricultural Water Management, 2007,89(3):287-296. doi: 10.1016/j.agwat.2007.02.002
[52]	于士航 . 关于落实发展新理念加快农业现代化实现全面小康目标的若干意见. 粮食流通技术, 2016,1(2):4-13.
[53]	Bonastre A, Capella J V, Ors R , et al. In-line monitoring of chemical-analysis processes using Wireless Sensor Networks. Trac Trends in Analytical Chemistry, 2012,34(2):111-125. doi: 10.1016/j.trac.2011.11.009
[54]	Damas M, Prados A M, Gómez F , et al. HidroBus ^®; system:fieldbus for integrated management of extensive areas of irrigated land . Microprocessors & Microsystems, 2001,25(3):177-184. doi: 10.1016/S0141-9331(01)00110-7
[55]	赵寒涛, 张小平, 朱明清 . 基于物联网技术的农田节水灌溉系统的研究. 自动化技术与应用, 2012,31(4):39-42.
[56]	马力, 王辉, 杨林章 , 等. 基于物联网技术的土壤温度水分远程实时监测系统的构建和运行.土壤, 2014(3):526-533.
[57]	Atzori L, Iera A, Morabito G . The internet of things:a survey. Computer Networks, 2010,54(15):2787-2805. doi: 10.1016/j.comnet.2010.05.010
[58]	Park D H, Kang B J, Cho K R , et al. A study on greenhouse automatic control system based on wireless sensor network. Wireless Personal Communications, 2011,56(1):117-130. doi: 10.1007/s11277-009-9881-2
[59]	Park D H, Park J W . Wireless sensor network-based greenhouse environment monitoring and automatic control system for dew condensation prevention. Sensors, 2011,11(4):3640-3651. doi: 10.3390/s110403640
[60]	穆晓路, 史慧峰, 邹平 , 等. 基于物联网技术的特色设施作物信息化管理技术与装备研究.新疆农村机械化, 2014(5):39-40. doi: 10.13620/j.cnki.issn1007-7782.2014.05.014
[61]	张锋, 黄树州, 林继良 . 基于物联网技术的设施农业在线监控系统.物联网技术, 2014(2):34-37. doi: 10.3969/j.issn.2095-1302.2014.02.016

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed