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method for extracting corp cultivation area and program thereof

机译:提取CORP栽培区域及其程序的方法

摘要

The present invention relates to a method and program for extracting crop cultivation area, simplifying the work process of using high-precision drone spatial information technology, shooting drones in a wide area within a short time through a simplified process, obtaining image information through RGB sensors and multi-spectral sensors, and by district A) A) Drone-based agricultural status survey processing process, complete survey results of the filming district, where the crop cultivation area is calculated through the production of orthographic images and 3D maps for each filming district, and the topographical analysis is processed by the imaging investigation start point and flight route Create a crop cultivation status map by inputting it into the status map provided by the program, select a representative branch for each district and connect with the farmhouse, input information on the harvest and growth status of the identified crops, and crops distributed in two or more regions as a complete survey list of crops In the case of , it is indicated by numbers, and in the case of crops grown only in a specific region, it is processed so that it is indicated by alphabets. B) The total survey process, the cultivation area calculation through the image acquired from the RGB sensor, and the classification of crop types through AI in the representative area; C) Processed in a way that schematizes crop growth information through the NDVI index through the spectral information obtained from the multi-spectral sensor, suggests ways to improve crop reading through domestic and overseas research case studies, and presents guidelines suitable for surveying the current state of farming in reclaimed farmland By providing a crop cultivation area extraction method and program, including a crop reading review method processing process, it is possible to effectively present overall development plans for future crop agriculture.
机译:本发明涉及一种用于提取作物培养区域的方法和程序,简化使用高精度无人机空间信息技术的工作过程,通过简化的过程在短时间内拍摄宽区域中的无人机,通过RGB传感器获得图像信息和多光谱传感器,由地区a)a)基于无人机的农业地位调查处理过程,通过生产正交图像和3D地图来计算拍摄地区的拍摄区域的完整调查结果。并且通过成像调查开始点和飞行路线处理地形分析通过将作物培养状态图输入到程序提供的状态图中,为每个区选择代表分支并与农舍连接,输入信息所识别的作物的收获和生长状态,以及分布在两个或更多个Regio中的作物NS作为作物的完整调查列表,它由数字表示,并且在仅在特定区域中生长的作物的情况下,处理它以使其由字母表示。 b)通过从RGB传感器获取的图像,通过代表区的AI分类,通过从RGB传感器获得的图像进行培养区域计算,以及通过代表区的AI分类; c)以通过通过多光谱传感器获得的光谱信息通过NDVI指数将作物生长信息示意的方式处理,表明通过国内外研究案例研究改善作物阅读的方法,并提出适合调查当前国家的准则通过提供作物培养区域提取方法和计划在开垦农田中的农业,包括作物阅读评论方法处理过程,可以有效地提出未来作物农业的整体发展计划。

著录项

  • 公开/公告号KR20210063016A

    专利类型

  • 公开/公告日2021-06-01

    原文格式PDF

  • 申请/专利权人 주식회사 공간정보;

    申请/专利号KR1020190151404

  • 发明设计人 김현진;박진기;양정훈;

    申请日2019-11-22

  • 分类号G06Q50/02;B64C39/02;B64D47/08;G06K9/20;G06Q50/10;G06Q50/20;G06Q50/26;G06T7/60;

  • 国家 KR

  • 入库时间 2022-08-24 19:10:38

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