Local level GIS module for accurate adaptive landscape farming

Abstract

The developed GIS is an information—mathematical model of the agricultural land space, designed for computational analysis of the natural ecological conditions of the hierarchy of landscape areas (ALR) of the region and adaptation of agricultural technologies to them. At the local level of each farm or agricultural company, information on actual land productivity is differentiated relative to the information-mathematical 3D geometric and structural model of the field relief surface. The relief is represented by a system of homomorphic elementary surfaces, each of which is quasi-uniform in the vertical and lateral structure of natural ecological conditions and is distinctive in exposure and morphometric parameters. Homomorphic surfaces correspond to elementary agro-landscape ranges. Original algorithms have been developed for calculating morphometric parameters and exposure within elementary surfaces, the location of current lines, depending on the type of surface, the presence of special points in them and the type of structural lines limiting them. A computational classification of homomorphic surfaces by natural ecological properties affecting the processes of soil formation is provided—position in relation to heat/moisture-bearing flows, gradation of slopes, location within the slope. Algorithms and program modules of information—mathematical automated visualization of homomorphic elementary surfaces, representative points of agrochemical sampling and current lines are designed for interpolation of agrochemical analysis data on each surface; modules for calculating morphometric parameters of elementary surfaces and exposure provide calculation of solar radiation coming within their limits. Within the database, a diagram of relationships between elementary surface objects in a field system was developed. Systemic monitoring and analysis of the law of matter and energy redistribution within elementary surfaces with their corresponding soils, microclimate and agricultural crop, create the possibility of programming spatially differentiated application of biologically active substances within the boundaries of the field, predicting their rates in accordance with climatic trends.