adgea智能精准生态平衡农业数字平台方法学

T. Varshanina, O. Plisenko, V. Korobkov, Z. Shekhov
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引用次数: 0

摘要

正在开发的数字平台是Adygea农业用地空间的信息和数学模型,旨在解决我们这个时代的一个紧迫问题:作物及其栖息地空间和时间异质性边界的自动可视化。首次建立了一个自动计算模型,将形态计量学分类的准均匀地形面-地形与土壤条件、气候和小气候波动进行比较,重新分配农化指标。开发的任务包括:在该地区的自然和经济区域的地方和中尺度提供作物生长条件的自动监测、分析、预测和优化,以及为与特定农业企业的土壤、气候和经济条件有关的技术解决方案创建智能信息支持系统。在区域和中观层面,数字平台的基本信息成分包括根据母岩的准均匀分布和形成中小气候和土壤的自然生态条件,采用景观-气候、生态-土壤和自然-人为区划方法确定的自然和经济区域等级。在局部层面上,结合作者的信息——野外地形面的三维几何结构数学模型,提取地形特征,计算电流线,确定物质沿地形的运动方向,确定农化检测的代表性点,并在野外地形中插值农化分析数据。数字平台是在免费跨平台量子GIS的基础上开发的,以Python扩展模块的形式使用QGIS库。数字平台的数据库是在PostgreSQL数据库管理系统上创建的。扩展模块直接处理存储在数据库中的信息,以获得关于分析单元层次的综合信息-自然和经济区域和农业企业,地形和领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology of the Digital Platform of Smart Accurate Ecologically Balanced Agriculture of Adygea
The digital platform being developed is an information and mathematical model of the space of agricultural lands of Adygea, designed to solve an urgent problem of our time: automated visualization of the boundaries of spatial and temporal heterogeneity of crops and their habitat. For the first time, an automated computational model of the redistribution of agrochemical indicators in morphometrically classified quasi–homogeneous relief surfaces – geotopes in comparison with soil conditions, climatic and microclimatic fluctuations has been created. The tasks of the development include: providing automated monitoring, analysis, forecasting and optimization of crop growth conditions at the local and meso-level of natural and economic areas of the region, as well as creating an intelligent information support system for technological solutions in relation to the soil, climatic and economic conditions of a particular agricultural enterprise. At the regional and meso-level, the basic information component of the digital platform includes the hierarchy of natural and economic areas identified by methods of landscape-climatic, ecological-soil and natural-anthropogenic zoning according to the quasi-homogeneous distribution of parent rocks and natural and ecological conditions of the formation of meso-, microclimate and soils. At the local level, information is integrated with respect to the author’s information-mathematical 3D geometric structural model of the field relief surface, which provides extraction of morphometric characteristics and calculation of current lines determining the direction of movement of matter along geotopes, determination of representative points of agrochemical examination and interpolation of agrochemical analysis data in the field relief. The digital platform is being developed on the basis of the free cross-platform Quantum GIS in the form of an extension module in Python using QGIS libraries. The database of the digital platform is created on the PostgreSQL database management system. The extension module directly processes the information stored in the database to obtain consolidated information on the hierarchy of units of analysis – natural and economic area and agricultural enterprise, geotope and field.
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