Scientia Agricultura Sinica ›› 2011, Vol. 44 ›› Issue (19): 3955-3969.doi: 10.3864/j.issn.0578-1752.2011.19.005

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

作物精确栽培;栽培方案设计;生长指标诊断;生产力预测Development and Implementation of Crop Precision Cultivation Technology

 CAO  Wei-Xing, ZHU  Yan, TIAN  Yong-Chao, YAO  Xia, TANG  Liang, LIU  Xiao-Jun, NI  Jun   

  1. 1.南京农业大学农学院/国家信息农业工程技术中心/江苏省信息农业高技术研究重点实验室
  • Received:2011-08-12 Online:2011-10-01 Published:2011-08-22

Abstract: The objective of this paper is to introduce the technical content, research progress, application impact, and future prospect of crop precision cultivation (CPC). The contents of CPC include digital design, information sensing and dynamic simulation of the objects and processes of crop cultivation system and thus realizing quantitative and precise crop management, based on integration of system science, information technology and crop cultivation. During the recent years, Chinese-style CPC technology has been developed by thorough and systematic research on the key techniques and application systems of crop precision cultivation, and remarkable advances have been achieved in three areas of CPC technology as precision design of crop cultivation plan, precision diagnosis of crop growth status, and precision prediction of crop productivity. Among them crop cultivation plan design is based on local production factors, crop growth monitoring and diagnosis is based on canopy spectral reflectance, and crop yield and quality prediction is based on growth process models. The future prospect of CPC is directed toward integrating and coupling crop cultivation with simulation technique, sensing technique, and decision support technique, and improving the key techniques for design of crop cultivation plan, diagnosis of crop growth status, and prediction of crop productivity from the field to regional scales. Further, the comprehensive software and hardware systems on the basis of CPC technology should be constructed and applied for realizing informatization of crop production management and promoting development of smart agriculture. Crop precision cultivation will be helpful to enhancement of the management level and production output, and facilitation of the progress of informatization and modernization of agricultural industry.

Key words:

[1]Mckinion J M, Bake D N. Application of the GOSSYM/COMAX system to cotton crop management. Agricultural Systems, 1989, 31(1): 55-65.

[2]Engel T. AEGIS/WIN: A computer program for the application of crop simulation models across geographic areas. Agronomy Journal, 1997, 89(6): 919-928.

[3]赵春江, 诸德辉, 李鸿祥, 杨宝祝, 康书江, 郭晓维. 小麦栽培管理计算机专家系统的研究与应用. 中国农业科学, 1997, 30(5): 42-49.

Zhao C J, Zhu D H, Li H X, Yang B Z, Kan S J, Guo X W. Study   on intelligent expert system of wheat cultivation management and   its application. Scientia Agricultura Sinica, 1997, 30(5): 42-49. (in Chinese)

[4]熊范纶, 乔克智, 胡海瀛. 农业专家系统及开发工具. 北京: 清华大学出版社, 1999.

Xiong F L, Qiao K Z, Hu H Y. Agricultural Expert System and Development Tool. Beijing: Qinghua University Press, 1999. (in Chinese)

[5]曹卫星. 数字农作技术. 北京: 科学出版社, 2008.

Cao W X. Digital Farming Technology. Beijing: China Agriculture Press, 2008. (in Chinese)

[6]曹卫星, 罗卫红. 作物系统模拟及智能管理. 北京: 华文出版社, 2001.

Cao W X, Luo W H. Crop System Simulation and Intelligent Management. Beijing: Huawen Press, 2001. (in Chinese)

[7]凌启鸿. 作物群体质量. 上海: 上海科技出版社, 2000.

Ling Q H. Quality of Crop Population. Shanghai: Shanghai Science Press, 2000. (in Chinese)

[8]于振文. 小麦产量与品质生理及栽培技术. 北京: 中国农业出版社, 2006.

Yu Z W. Physiology and Cultivation for Wheat Yield and Quality. Beijing: China Agricultural Press, 2006. (in Chinese)

[9]曹卫星, 朱 艳. 作物管理知识模型. 北京: 中国农业出版社, 2005.

Cao W X, Zhu Y. Knowledge Model for Crop Management. Beijing: China Agriculture Press, 2005. (in Chinese)

[10]Zhu Y, Cao W X, Dai T B, Tian Y C, Yao X. A knowledge model system for wheat production management. Pedosphere, 2007, 17(2): 172-181.

[11]Yan D C, Zhu Y, Wang S H, Cao W X. A quantitative knowledge-based model for designing suitable growth dynamics in rice. Plant Production Science, 2006, 9(2): 93-105.

[12]Cao J, Jing Q, Zhu Y, Liu X J, Zhuang S, Chen Q C, Cao W X. A knowledge-based model for nitrogen management in rice and wheat. Plant Production Science, 2009, 12(1): 100-108.

[13]朱 艳, 曹卫星, 姜 东, 戴廷波. 冬小麦适宜播期和播种量设计的动态知识模型研究. 中国农业科学, 2003, 36(2): 147-154.

Zhu Y, Cao W X, Jiang D, Dai T B. A dynamic knowledge model for design of suitable sowing date and sowing rate of winter wheat. Scientia Agricultura Sinica. 2003, 36(2): 147-154. (in Chinese)

[14]张怀志, 朱 艳, 曹卫星, 周治国, 张立桢. 棉花氮肥和水分运筹的动态知识模型. 应用生态学报, 2004, 15(5): 777-781.

Zhang H Z, Zhu Y, Cao W X, Zhou Z G, Zhang L Z. A dynamic knowledge model for nitrogen and water management of cotton. Chinese Journal of Applied Ecology, 2004, 15(5): 777-781. (in Chinese)

[15]朱 艳, 曹卫星, 田永超, 姚 霞. 油菜播栽方案设计的动态知识模型. 应用生态学报, 2007, 18(2): 322-326.

Zhu Y, Cao W X, Tian Y C, Yao X. A dynamic knowledge model for designing suitable scheme of rapeseed sowing and transplanting. Chinese Journal of Applied Ecology, 2007, 18(2): 322-326. (in Chinese)

[16]曹 静, 刘小军, 汤 亮, 曹卫星, 朱 艳. 稻麦适宜氮素营养指标动态的模型设计. 应用生态学报, 2010, 21(2): 359-364.

Cao J, Liu X J, Tang L, Cao W X, Zhu Y. Model designing for suitable nitrogen index dynamics of rice and wheat. Chinese Journal of Applied Ecology, 2010, 21(2): 359-364. (in Chinese)

[17]刘小军, 曹 静, 李艳大, 张玉屏, 曹卫星, 朱 艳. 水稻水分精确管理的知识模型研究. 中国农业科学, 2010, 43(8): 1571-1576.

Liu X J, Cao J, Li Y D, Zhang Y P, Cao W X, Zhu Y. A knowledge model for precision water management in rice. Scientia Agricultura Sinica, 2010, 43(8): 1571-1576. (in Chinese)

[18]张怀志, 朱 艳, 曹卫星. 基于知识模型的棉花管理决策支持系统. 棉花学报, 2005, 17(4): 201-206.

Zhang H Z, Zhu Y, Cao W X. Design and implementation of a knowledge model-based decision support system for cotton management. Acta Gossypii Sinica, 2005, 17(4): 201-206. (in Chinese)

[19]曹 静, 刘小军, 汤 亮, 姚 霞, 周昌俊, 曹卫星, 朱 艳. 基于知识模型的网络化作物管理决策支持系统. 南京农业大学学报, 2007, 30(3): 21-26.

Cao J, Liu X J, Tang L, Yao X, Zhou C J, Cao W X, Zhu Y. Knowledge model and web-based decision support system for crop management. Journal of Nanjing Agricultural University, 2007, 30(3): 21-26. (in Chinese)

[20]邱小雷, 刘小军, 朱 艳, 曹卫星. 基于Pocket PC的小麦栽培管理知识模型系统的设计与实现. 农业工程学报, 2007, 23(10): 182-185.

Qiu X L, Liu X J, Zhu Y, Cao W X. Design and implementation of a pocket PC-based knowledge model system for wheat cultivation management. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(10): 182-185. (in Chinese)

[21]李凤菊, 刘小军, 姜海燕, 曹卫星, 朱 艳. 基于WebGIS与知识模型的小麦病虫草害管理决策支持系统研究. 麦类作物学报, 2009, 29(5): 934-940.

Li F J, Liu X J, Jiang H Y, Cao W X, Zhu Y. Study on WebGIS and knowledge model based decision support system for disease-pest-weed management in wheat. Journal of Triticeae Crops, 2009, 29(5): 934-940. (in Chinese)

[22]刘小军, 邱小雷, 孙传范, 曹卫星, 朱 艳, 吴福官. 基于知识模型和PDA的精确农作系统设计及应用. 农业工程学报, 2010, 26(1): 210-215.

Liu X J, Qiu X L, Sun C F, Cao W X, Zhu Y, Wu F G. Design and application of knowledge model and PDA-based precision farming system. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(1): 210-215. (in Chinese)

[23]刘小军, 曹 静, 汤 亮, 曹卫星, 朱 艳. 基于模型和GIS的水稻生产管理决策支持系统构建与应用. 中国水稻科学, 2010, 24(3): 297-302.

Liu X J, Cao J, Tang L, Cao W X, Zhu Y. Development and application of a model and GIS-Based decision support system for rice production management. Chinese Journal of Rice Science, 2010, 24(3): 297-302. (in Chinese)

[24]陈蓉蓉, 周治国, 曹卫星, 朱 艳, 戴廷波. 农田精确施肥决策支持系统的设计与实现. 中国农业科学, 2004, 37(4): 516-521.

Chen R R, Zhou Z G, Cao W X, Zhu Y, Dai T B. Design and implementation of a decision supporting system for precision fertilization (DSSPF). Scientia Agricultura Sinica, 2004, 37(4): 516-521. (in Chinese)

[25]田永超, 朱 艳, 姚 霞, 刘小军, 曹卫星. 基于光谱信息的作物氮素营养无损监测技术. 生态学杂志, 2007, 26(9): 1454-1463.

Tian Y C, Zhu Y, Yao X, Liu X J, Cao W X. Non-destructive monitoring of crop nitrogen nutrition based on spectral information. Chinese Journal of Ecology, 2007, 26(9): 1454-1463. (in Chinese)

[26]Xue L H, Cao W X, Luo W H, Dai T B, Zhu Y. Monitoring leaf nitrogen status in rice with canopy spectral reflectance. Agronomy Journal, 2004, 96(1): 135-142.

[27]Tian Y C, Yao X, Yang J, Cao W X, Hannaway D B, Zhu Y. Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance. Field Crops Research, 2011, 120(2): 299-310.

[28]Tian Y C, Zhu Y, Cao W X. Monitoring leaf photosynthesis with canopy spectral reflectance in rice. Photosynthetica, 2005, 43(4): 481-489.

[29]Zhu Y, Tian Y C, Yao X, Liu X J, Cao W X. Analysis of common canopy reflectance spectra for indicating leaf nitrogen concentrations in wheat and rice. Plant Production Science. 2007, 10(4): 400-411.

[30]Yao X, Zhu Y, Tian Y C, Feng W, Cao W X. Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat. International Journal of Applied Earth Observation and Geoinformation. 2010, 12(2): 89-100.

[31]Zhu Y, Yao X, Tian Y C, Liu X J, Cao W X. Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice. International Journal of Applied Earth Observation and Geoinformation, 2008, 10(1): 1-10.

[32]Feng W, Yao X, Zhu Y, Tian Y C, Cao W X. Monitoring leaf nitrogen status with hyperspectral reflectance in wheat. European Journal of Agronomy, 2008, 28(3): 394-404.

[33]Ju C H, Tian Y C, Yao X, Cao W X, Zhu Y, Hannaway D B. Estimating leaf chlorophyll content using red edge parameters. Pedosphere, 2010, 20(5): 633-644.

[34]鞠昌华, 田永超, 朱洪芬, 朱 艳, 曹卫星. 基于LISS4数据的小麦氮素营养状况反演研究. 农业工程学报, 2008, 24(11): 150-154.

Ju C H, Tian Y C, Zhu H F, Zhu Y, Cao W X. Inversion of wheat nitrogen status based on LISS4 data. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(11): 150-154. (in Chinese)

[35]田永超, 杨 杰, 姚霞, 朱 艳, 曹卫星. 利用红边面积形状参数估测水稻叶层氮浓度. 植物生态学报, 2009, 33(4): 791-801. 

Tian Y C, Yang J, Yao X, Zhu Y, Cao W X. Estimation of leaf canopy nitrogen concentration with red edge area shape parameter in rice. Chinese Journal of Plant Ecology, 2009, 33(4): 791-801. (in Chinese)

[36]田永超, 杨 杰, 姚 霞, 朱 艳, 曹卫星. 高光谱植被指数与水稻叶面积指数的定量关系. 应用生态学报, 2009, 20(7): 1685-1690. 

Tian Y C, Yang J, Yao X, Zhu Y, Cao W X. Quantitative relationships between hyper-spectral vegetation indices and leaf area index of rice. Chinese Journal of Applied Ecology, 2009, 20(7): 1685-1690. (in Chinese)

[37]陈青春, 田永超, 姚 霞, 朱 艳, 曹卫星. 基于冠层反射光谱的水稻追氮调控效应研究. 中国农业科学, 2010, 43(20): 4149-4157.

Chen Q C, Tian Y C, Yao X, Zhu Y, Cao W X. Effects of nitrogen fertilizer top-dressing based on canopy reflectance spectra in rice. Scientia Agricultura Sinica, 2010, 43(20): 4149-4157. (in Chinese)

[38]朱洪芬, 田永超, 姚 霞, 朱 艳, 曹卫星. 基于遥感的作物生长监测与调控系统研究. 麦类作物学报, 2008, 28(4): 674-679.

Zhu H F, Tian Y C, Yao X, Zhu Y, Cao W X. RS-based crop growth monitoring and regulation system. Journal of Triticeae Crops, 2008, 28(4): 674-679. (in Chinese)

[39]焦学磊, 曹卫星, 田永超, 徐志刚. 用于作物光谱信息监测的微弱信号调理方法与电路设计. 仪器仪表学报, 2008, 29(11): 64-68.

Jiao X L, Cao W X, Tian Y C, Xu Z G. Feeble light signal conversion method and circuit design used in crop spectrum information inspection. Chinese Journal of Scientific Instrument, 2008, 29(11): 64-68. (in Chinese)

[40]姚 霞, 刘小军, 王 薇, 倪 军, 曹卫星, 朱 艳. 小麦氮素营养无损监测仪的敏感波段的最佳波段宽度研究. 农业机械学报, 2011, 42(2): 162-167.

Yao X, Liu X J, Wang W, Ni J, Cao W X, Zhu Y. Optimal bandwidths of sensitive bands for portable nitrogen monitoring instrument in wheat. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(2): 162-167. (in Chinese)

[41]徐志刚, 朱 艳, 焦学磊, 曹卫星, 刘晓英. 作物氮素营养无损检测仪的光学系统设计. 农业机械学报, 2008, 39(3): 120-122.

Xu Z G, Zhu Y, Jiao X L, Cao W X, Liu X Y. Design of optic system for crop nitrogen non-destructive monitoring instrument. Transactions of the Chinese Society for Agricultural Machinery, 2008, 39(3): 120-122. (in Chinese)

[42]刘海俊, 孙传范, 曹卫星, 焦学磊, 习志仁, 徐志刚. 便携式作物氮素监测仪性能水稻田间测试. 农业机械学报. 2010, 41(9): 80-84.

Liu H J, Sun C F, Cao W X, Jiao X L, Xi Z R, Xu Z G, Evaluation of portable crop nitrogen monitoring instrument based on rice field experiment. Transactions of the Chinese Society for Agricultural Machinery, 2010, 41(9): 80-84. (in Chinese)

[43]Cao W X, Moss D N. Modeling phasic development in wheat: an integration of physiological components. Journal of Agricultural Science, 1997, 129: 163-172.

[44]Cao W X, Liu T M, Luo W H, Wang S H, Pan J, Guo W S. Simulating organ growth in wheat based on the organ-weight fraction concept. Plant Production Science, 2002, 5(3): 248-256.

[45]Meng Y L, Cao W X, Zhou Z G, Liu X W. A process-based model for simulating phasic development and phenology in rice. Agricultural Sciences in China, 2003, 2(11): 1277-1284.

[46]孟亚利, 曹卫星, 柳新伟, 周治国, 荆 奇. 水稻地上部干物质分配动态模拟的初步研究. 作物学报, 2004, 30(4): 376-381.

Meng Y L, Cao W X, Liu X W, Zhou Z G, Jing Q. A preliminary study of simulation on shoot dry matter partitioning in rice. Acta Agronomica Sinica, 2004, 30(4): 376-381. (in Chinese)

[47]潘 洁, 朱 艳, 曹卫星. 基于顶端发育的小麦产量结构形成模型. 作物学报, 2005, 31(3): 316-322.

Pan J, Zhu Y, Cao W X. Modeling formation of yield components based on apical development in wheat. Acta Agronomica Sinica, 2005, 31(3): 316-322. (in Chinese)

[48]庄恒扬, 曹卫星. 作物生产系统氮磷养分平衡的定量模拟. 农业系统科学与综合研究, 2003, 19(1): 71-74.

Zhuang H Y, Cao W X. Modeling nutrient balances affected by interactions of N, P and K in crop production systems. System Sciences and Comprehensive Studies in Agriculture, 2003, 19(1): 71-74. (in Chinese)

[49]Hu J C, Cao W X, Zhang J B, Jiang D, Feng J. Quantifying responses of winter wheat physiological processes to soil water stress for use in growth simulation modeling. Pedosphere, 2004, 14(4): 509-518.

[50]Pan J, Zhu Y, Cao W X, Dai T B, Jiang D. Predicting the protein content of grain in winter wheat with meteorological and genotypic factors. Plant Production Science, 2006, 9(3): 323-333.

[51]Pan J, Zhu Y, Jiang D, Dai T B, Li Y X, Cao W X. Modeling plant nitrogen uptake and grain nitrogen accumulation in wheat. Field Crops Research, 2006, 97 (2-3): 322-336.

[52]Pan J, Zhu Y, Cao W X. Modeling plant carbon flow and grain starch accumulation in wheat. Field Crops Research, 2007, 101(3): 276-284.

[53]陈兵林, 曹卫星, 周治国. 棉花单铃干物质积累分配的分期动态模拟及检验. 中国农业科学, 2006, 39(3): 487-493.

Chen B L, Cao W X, Zhou Z G. Simulation and validation of dry matter accumulation and distribution of cotton bolls at different flowering stages. Scientia Agricultura Sinica, 2006, 39(3): 487-493. (in Chinese)

[54]李卫国, 朱 艳, 荆 奇, 曹卫星. 水稻籽粒蛋白质积累的模拟模型研究. 中国农业科学, 2006, 39(3): 544-551.

Li W G, Zhu Y, Jing Q, Cao W X. Modeling protein accumulation in rice grain. Scientia Agricultura Sinica, 2006, 39(3): 544-551. (in Chinese)

[55]汤 亮, 朱 艳, 孙小芳, 曹卫星. 油菜光合作用与干物质积累的动态模拟模型. 作物学报, 2007, 33(2): 189-195.

Tang L, Zhu Y, Sun X F, Cao W X. Dynamic simulation model for photosynthesis and dry matter accumulation in rapeseed. Acta Agronomica Sinica, 2007, 33(2): 189-195. (in Chinese)

[56]邹 薇, 刘铁梅, 潘永龙, 姚 娟, 蔡 剑, 庄恒扬, 郭华春, 曹卫星. 基于生理生态过程的大麦顶端发育和物候期模拟模型. 生态学报, 2009, 29(2): 815-823.

Zou W, Liu T M, Pan Y L, Yao J, Cai J, Zhuang H Y, Guo H C, Cao W X. A process-based simulation model on apical development and phenological stages in barley: model description. Acta Ecologica Sinica, 2009, 29(2): 815-823. (in Chinese)

[57]曹卫星, 潘 洁, 朱 艳, 刘晓军. 基于生长模型与WEB应用的小麦管理决策支持系统. 农业工程学报, 2007, 23(1): 133-138.

Cao W X, Pan J, Zhu Y, Liu X J. Growth model and web application-based decision support system for wheat management. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(1): 133-138. (in Chinese)

[58]花登峰, 刘小军, 汤 亮, 朱 艳, 曹卫星. 基于构件化生长模型的作物管理决策支持系统. 南京农业大学学报, 2008, 31(1): 17-22.

Hua D F, Liu X J, Tang L, Zhu Y, Cao W X. Growth model and component-based decision support system for crop management. Journal of Nanjing Agricultural University, 2008, 31(1): 17-22. (in Chinese)

[59]叶宏宝, 刘晓军, 朱 艳, 曹卫星. 基于生长模型的稻麦轮作生产管理决策支持系统研究. 麦类作物学报, 2007, 27(2): 276-281.

Ye H B, Liu X J, Zhu Y, Cao W X. Study on growth model-based decision support system for rice-wheat rotation production. Journal of Triticeae Crops, 2007, 27(2): 276-281. (in Chinese)

[60]汤 亮, 曹卫星, 朱 艳. 基于生长模型的油菜管理决策支持系统. 农业工程学报, 2006, 22(11): 160-164.

Tang L, Cao W X, Zhu Y. Development of growth model-based decision support system for rapeseed management. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(11): 160-164. (in Chinese)

[61]黄 芬, 朱 艳, 姜 东, 荆 奇, 曹卫星. 基于模型与GIS的小麦籽粒品质空间差异分析. 中国农业科学. 2009, 42(9): 3087-3095.

Huang F, Zhu Y, Jiang D, Cao W X. Spatial variation analysis of wheat grain quality based on model and GIS. Scientia Agricultura Sinica, 2009, 42(9): 3087-3095. (in Chinese)

[62]朱元励, 朱 艳, 黄 彦, 姚 霞, 刘蕾蕾, 曹卫星, 田永超. 应用粒子群算法的遥感信息与水稻生长模型同化技术. 遥感学报, 2010, 14(6): 1233-1239.

Zhu Y L, Zhu Y, Huang Y, Yao X, Liu L L, Cao W X, Tian Y C. Assimilation technique of remote sensing information and rice growth model based on particle swarm optimization. Journal of Remote Sensing, 2010, 14(6): 1233-1239. (in Chinese)

[63]黄 彦, 朱 艳, 王 航, 姚鑫锋, 曹卫星, Hannaway D B, 田永超. 基于遥感与模型耦合的冬小麦生长预测. 生态学报, 2011, 31(4): 1073-1084.

Huang Y, Zhu Y, Wang H, Yao X F, Cao W X, Hannaway D B, Tian Y C. Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques. Acta Ecologica Sinica, 2011, 31(4): 1073-1084. (in Chinese)
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!