基于图像的农业信息演变规律提取现状分析

发布时间：2018-04-15 04:39

本文选题：演变规律 + 图像特征　；参考：《江苏农业科学》2017年16期

【摘要】：农作物信息演变规律提取是人们认识农作物生长过程的重要手段,也是人们了解农作物生长状况、精确判断发展阶段、预测发展趋势的重要依据之一。基于演变规律构建的可视化演变模型可以使人们更加直观地了解作物的生长全过程。近年来,基于数字图像处理的检测技术因非接触测量、操作简单、无损伤等特点逐渐得到研究者的重视。本文以基于时间序列的图像检测技术在演变规律提取方面的应用为切入点,全面分析了该技术在农业领域中包括农作物的长势监测、染病程度判断、可视化模型构建3个方面的应用现状,总结了该技术研究在农作物演变信息提取中存在的一些问题,并对未来可能的发展方向给出预测性建议,以期为该技术为在相关领域的研究提供借鉴与参考。
[Abstract]:The extraction of crop information evolution law is an important means for people to understand the process of crop growth, and it is also one of the important bases for people to understand the situation of crop growth, accurately judge the development stage and predict the development trend.The visual evolution model based on evolution law can make people understand the whole process of crop growth more intuitively.In recent years, the detection technology based on digital image processing has been paid more and more attention by researchers for its characteristics of non-contact measurement, simple operation and no damage.Based on the application of image detection technology based on time series in the extraction of evolution rules, this paper comprehensively analyzes the application of this technology in the field of agriculture, including crop growth monitoring and disease degree judgment.The application status of visualization model construction in three aspects is summarized, and some problems existing in the research of crop evolution information extraction are summarized, and some predictive suggestions are given for the possible development direction in the future.In order to provide reference and reference for the study of this technology in related fields.
【作者单位】：郑州轻工业学院电气信息工程学院;河南省信息化电器重点实验室;
【基金】：国家自然科学基金(编号:61501407) 河南省科技厅重点科技攻关项目(编号:132102110150) 河南省高等学校重点科研项目(编号:15A413006) 郑州轻工业学院研究生科技创新基金(编号:2015028)
【分类号】：S126;TP391.41

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