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数字农业
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  digital agriculture
    The knowledge model for maize management is the core content of intelligent and informatic cultivation system, and is a frontier field of digital agriculture theory and technology.
    玉米栽培管理知识模型是玉米智能栽培和信息栽培的核心内容,是当今数字农业理论与技术的前沿领域。
短句来源
    The crop growth simulation model and decision support system (DSS) for cultural management are the core contents of informational and digital agriculture. The crop growth simulation model is mainly characterized with the functions of systemic integration and real-time prediction.
    作物生长模拟模型和管理决策支持系统是信息农业和数字农业研究与应用的核心与作物生长模拟模型和管理决策支持系统是信息农业和数字农业研究与应用的核心与典范。
短句来源
    Going with the fast development of computer technique and information technique, the emergence of the concept of Digital Agriculture, computer technique is used in agriculture step by step.
    伴随着计算机技术、信息技术的快速发展和“数字农业”概念的提出,计算机技术在农业上的应用逐渐广泛起来。
短句来源
    Its prospect is very good and it will promote Digital Agriculture.
    系统前景良好,将对“数字农业”中的一些研究起到积极的推动作用。
短句来源
    Digital agriculture is the core of agricultural informationazation, it will greatly promote agricultural technology revolution, speed up two agricultural transformations and agriculture development, and enhance our competition ability in WTO and enjoy more shares in international agricultural market.
    “数字农业”是农业信息化的核心,是农业信息化的更高层次和阶段。 “数字农业”的实施,将有力地推动农业技术革命,促进农业的两个转变和农业的快速发展,提高我国农业加入WTO以后的竞争能力,抢占农业大市场。
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  digital agriculture
The main content, technical support and enforcement strategy of digital agriculture
      
This paper deals with the content, purpose and significance of digital agriculture, and gives a brief introduction to digital earth, digital China and digital agriculture abroad.
      
The main content of digital agriculture includes the construction of database, Metadata standard, monitoring system, forecasting and decision-making system, information-releasing system.
      
The advantages of implementing digital agriculture in China and the problems worthy of attention are pointed out as well.
      
Study on the framework system of digital agriculture
      
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This paper expounded the application of remote sensed data on growth monitor and variable (fertilization) in winter wheat based on remote sensed data. It was regarded as trends of precision (fertilization) by variable (fertilization) technology and nondestructive monitoring technology. Progress of crop growth monitor and precision variable fertilization technology were investigated and studied systematically, (dynamic) (fertilization) based on the relationship between appropriate canopy spectral parameters and...

This paper expounded the application of remote sensed data on growth monitor and variable (fertilization) in winter wheat based on remote sensed data. It was regarded as trends of precision (fertilization) by variable (fertilization) technology and nondestructive monitoring technology. Progress of crop growth monitor and precision variable fertilization technology were investigated and studied systematically, (dynamic) (fertilization) based on the relationship between appropriate canopy spectral parameters and nitrogen (concentration) in winter wheat, SPAD reading, crop Chlorophyll content and nitrogen level will be the (future) development directions. At last, the facing (poblems) and solution of developing precision (fertilization) in (China) was brought forward.

就国内外基于遥感数据的冬小麦长势监测和变量施肥技术的研究与应用作了阐述,提出了快速、无损农业测试技术将是精准变量农业和数字农业今后发展的方向,对冬小麦长势监测以及精准变量施肥技术的研究进展作了较系统的调查研究,指出根据冬小麦冠层光谱指数与氮素含量、叶色值与叶绿素含量及氮素水平之间的统计关系来进行动态施肥是今后变量施肥的发展方向。并结合中国国情提出了发展精准农业变量施肥技术所面临的困难和出路。

A study on the precision cotton growing in Shihezi Experimental Area in Xinjiang was carried out based on the characteristics of the mechanized, intensive and large-scaled production and the consideration of the actuality and basic conditions of cotton growing in Xinjiang Group Company of Production and Construction by using the new technology, conception, ways and means of GIS, RS, GPS, ES and MS. After following up the advanced study achievements and development level of domestic and foreign precision agriculture,...

A study on the precision cotton growing in Shihezi Experimental Area in Xinjiang was carried out based on the characteristics of the mechanized, intensive and large-scaled production and the consideration of the actuality and basic conditions of cotton growing in Xinjiang Group Company of Production and Construction by using the new technology, conception, ways and means of GIS, RS, GPS, ES and MS. After following up the advanced study achievements and development level of domestic and foreign precision agriculture, the characteristic digital farming system and popularization mode were developed by completing, developing and integrating the available farming devices in Xinjiang based on the innovation of digital farming technologies and the integration of domestic available research achievements and technologies as well as the information technology, and a large-scaled application demonstration was carried out. After making great efforts under the cooperation with some units, a study on the integration of information system for the precision cotton growing was carried out in three aspects including the farmland information collection system, information processing system and implementation system, and some preliminary achievements have been achieved. These achievements were applied in the management decision-making of the integrated and completed technological system, precision cotton seeding, water-saving irrigation, variable fertilization, prediction and control of plant diseases and insect pests, cotton growth monitoring, etc. based on the developed and introduced hardware platform. Thus, a set of advanced, matured and intellectualized decision-making systems for precision cotton growing and management were formed, which were suitable for cotton growing in Xinjiang, and those were integrated with the variable farming devices in the demonstration. The achievements in this study can be referred in precision cotton growing in Xinjiang and other regions in China, they have popularization significances in Xinjiang and even in other provinces of China, and the market potential is huge.

根据新疆生产建设兵团农业机械化、集约化、规模化生产的特点,结合新疆兵团棉花种植的实际情况和基础条件,利用GIS、RS、GPS、ES、MS等最新技术在棉花精准种植试验区开展研究工作。跟踪国内外精准农业的最新研究发展水平,在数字农业技术创新的基础上,整合国内已有的研究成果,利用信息技术对新疆现有的农业生产设备进行组装配套,研制、开发、集成具有新疆特色的数字农业技术体系与推广模式,进行规模化应用示范。在农田信息采集、处理和实施系统3个方面进行棉花精准种植信息系统集成研究,取得了初步成果利用自主开发与引进的硬件平台,组装集成的配套技术体系,在棉花的精准播种、节水灌溉、变量施肥、病虫害预测预报与防治、长势监测等产前、产中管理决策中应用,形成一套适宜新疆的先进成熟的棉花生产管理智能化决策系统,同时与变量作业机具组装配套进行示范,该成果可为新疆及其它地区棉花精准种植提供参考模式,具有重大的推广意义,市场前景广阔。

>=There are important academic value and actual application significance of Nutrition diagnosis on crop chlorophyll’s content (CHL.C) and nitrogen ’s content (N.C) with simple, exact and nondestructive methods in digital agriculture. First, the reflected spectrum characteristics of soybean’s canopy were taken measure in this paper. Then, the correlative properties between reflected spectrum and CHL.C were analyzed. The conclusions are: 1) the soybean has typical reflected spectral characteristics about green...

>=There are important academic value and actual application significance of Nutrition diagnosis on crop chlorophyll’s content (CHL.C) and nitrogen ’s content (N.C) with simple, exact and nondestructive methods in digital agriculture. First, the reflected spectrum characteristics of soybean’s canopy were taken measure in this paper. Then, the correlative properties between reflected spectrum and CHL.C were analyzed. The conclusions are: 1) the soybean has typical reflected spectral characteristics about green plant. 2) There was a better pertinence between CHL.C and reflected spectrum of 540nm in green, 660nm in red and 950nm in NIR. Five predicted models about CHL.C were established by spectral vegetation indexes of CARI, SAVI, RVI, NDVI, and NIR/G respectively. We got that a predicted model of vegetation Index-SAVI was optimizing. The validation testing showed the relative error of the predicted models is less than 20%. At the same time, we set up the SAVI predicted equation of N.C based on pertinence of N.C and CHL.C. It can be directed fertilizer operation of farm field.

简捷、准确、非破坏性的农作物叶绿素和氮素含量诊断在数字农业中具有重要的理论研究价值和实际应用意义。本文以大豆为研究对象,研究其冠层光谱特性,分析大豆冠层光谱反射率与叶片叶绿素含量之间的相关性变化。结果发现:(1)大豆具有绿色植物典型的光谱曲线反射特征;(2)绿光波段540nm、红光波段660nm和近红外波段950nm处光谱反射率与叶绿素指标具有较好的相关性。在此基础上,本研究对比了CARI,SAVI,PVI,NDVI和NIR/G五种光谱植被指数于叶绿素含量的预测模型,筛选出相关性最高的土壤调整植被指数SAVI,并建立最佳估算模型。试验表明,反演模型的相对误差在20%范围内;接着利用叶绿素与N素含量之间存在的相关关系,建立了氮素含量的SAVI反演方程,这将为农田施肥作业提供指导。

 
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