Engineering digital model of agricultural land space for preparation and maintenance of agroecological component of precision agriculture

DOI: 10.35595/2414-9179-2022-2-28-737-745

View or download the article (Rus)

About the Authors

Tatiana P. Varshanina

Adyghe State University, Research Institute of Complex Problems of ASU, Center for Intelligent Geoinformation Technologies,
Gagarina str., 13, 385000, Maikop, Russia;

Federal State Budgetary Scientific Institution “Adygea Scientific Research Institute of Agriculture”,
p. Podgorny, Lenin str., 48, 385064, Maykop, Russia;

E-mail: vtp01@mail.ru

Nurbiy I. Mamsirov

Maykop State Technological University, Department of Agricultural Production Technology,
Pervomayskaya str., 191, 385000, Maykop, Russia;

Federal State Budgetary Scientific Institution “Adygea Scientific Research Institute of Agriculture”,
p. Podgorny, Lenin str., 48, 385064, Maykop, Russia;
E-mail: nur.urup@mail.ru

Zaurbiy A. Shekhov

Adyghe State University, Research Institute of Complex Problems of ASU, Center for Intelligent Geoinformation Technologies,
Gagarina str., 13, 385000, Maikop, Russia;
E-mail: gic-info@yandex.ru

Vladislav Yu. Piankov

Adyghe State University, Research Institute of Complex Problems of ASU, Center for Intelligent Geoinformation Technologies,
Gagarina str., 13, 385000, Maikop, Russia;
E-mail: gic-info@yandex.ru

Abstract

An automated computational engineering model is being developed to support the agro-ecological component of the agricultural production process. The authors solve the tasks of creating a computational model of spatially differentiated assessment, monitoring and management of heterogeneous productivity of land. The structure of model data, following the logic of the natural process of formation of soil fertility, as operational units is based on the hierarchy of structural units of landscapes from the regional level to the elementary range of the agro-landscape—geotope. The structure of the attributive data of the operating units of the model is determined by the spatial differentiation of the calculated values of abiotic factors responsible for the formation of the soil cover.

Elementary soil ranges—geotopes—are visualized in the information-mathematical 3D geometric model of the relief surface and are automatically classified by position in the landscape catena and by natural ecological, including calculated microclimatic, characteristics. Geotopes, homogeneous in terms of material and energy flow redistribution, provide agro-ecological grouping of lands at the local field level.

Within the boundaries of geotopes, representative points of study of the natural spatial differentiation of the structure and parameters of the vertical profile of soils and agrochemical survey data are automatically distinguished. An information-mathematical field model is created to identify, by using computational methods, the natural boundaries of heterogeneities, which determine the spatial differentiation of the agrochemical state of soils and the microclimate—the habitat of crops. Mathematical model makes it possible to calculate spatial differentiation of quantitative characteristics of soils and biologically active substances in representative points of geotopes based on agrochemical survey data. The revealed patterns of redistribution of biologically active substances within the field are necessary for differentiated planning and implementation of the corresponding agrotechnical techniques of precision agriculture.

Keywords

agro-ecological component of precision agriculture, engineering agriculture, information-mathematical field model, computational boundaries of natural field heterogeneity, computational redistribution of concentration of biologically active substances in soil

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For citation: Varshanina T.P., Mamsirov N.I., Shekhov Z.A., Piankov V.Yu. Engineering digital model of agricultural land space for preparation and maintenance of agroecological component of precision agriculture. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2022. V. 28. Part 2. P. 737–745. DOI: 10.35595/2414-9179-2022-2-28-737-745 (in Russian)