农业主要病害检测与预警技术研究进展分析
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叶类蔬菜产业技术体系北京市创新团队建设专项资金项目(BAIC07-2016)和天津市科技支撑计划项目(15ZCZDNC00120)


Research Progress Analysis of Mainly Agricultural Diseases Detection and Early Warning Technologies
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    摘要:

    农作物病害一直以来是制约农业可持续发展的主要因素之一,农业病害预警逐渐成为国内外研究的热点问题。在总结和整理现有国内外研究文献的基础上,对物联网和传感器、3S、光谱、病原微生物检测等农业病害预警信息获取关键技术以及病害图像处理、病害预警专家系统、病害预测等农业病害预警信息处理技术进行了系统的分析与讨论。综述结果表明,多种技术的结合、集成及融合将使农业病害预警的覆盖面更广,预警准确性更高;农业病害预警信息获取方式在向精确化、广泛化方向发展;对农业病害的短期预警将成为一个研究重点;农业病害早期/初期检测、诊断与预警会成为新的发展方向;农业病害预警系统及装备将朝着低成本化方向发展;实时在线的农业病害自动预警方式具有更大的实际意义。

    Abstract:

    The occurrence of agricultural diseases has been one of the restrict factors of sustainable agricultural development for a long time, and agricultural diseases early warning technology gradually becomes a hot issue in China and abroad. Based on the literature review, the important meaning of agricultural diseases early warning technology for agricultural development was presented. This article expounded the characteristics and classification of agriculture diseases early warning firstly. And then a systematical analysis and discussion were carried on the key technologies for agricultural diseases early warning information acquisition, mainly summarizing the internet of things and sensor technology, 3S technology, spectrum technology and pathogenic microorganism examination technology. And also an introduction of agricultural diseases early warning information processing technologies was made, such as image processing technology, expert system of disease early warning and disease prediction technology. Finally, the conclusion of the whole article was obtained. The results indicated that the integration and combination of mutitechnology would cover the whole agricultural diseases early warning area and get a higher accuracy of disease early warning;the acquisition of agricultural information was becoming precision and extensive; the early detection,diagnose and warning of agricultural diseases would be a new development direction; the agricultural disease early warning systems and equipment would be developed with lower cost; the realtime and online agricultural diseases automatic early warning will be an important research direction.

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王翔宇,温皓杰,李鑫星,傅泽田,吕雄杰,张领先.农业主要病害检测与预警技术研究进展分析[J].农业机械学报,2016,47(9):266-277.

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  • 收稿日期:2016-04-22
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  • 在线发布日期: 2016-09-10
  • 出版日期: 2016-09-10