Agricultural models based on the rational use of land energy

Abstract

The paper concludes that the models of modern agricultural technologies are based on energy reserves and huge planetary resources of chemically bound energy resulting from the interaction of organic and inorganic matter. In Russia these models were implemented by way of turning to environmentally friendly sustainable development of the country. The research object was land reserves available in the Russian Federation. The paper justifies a growing geographical fragmentation of labor and its integration into territorial networks and development systems of different levels. The use of natural resources and environmental protection, along with social development, correlate with a specific region, shaping a regional network, which is a diverse combination of specific natural, economic and social ecosystems. The interaction of organic and inorganic energy is a beneficial way to obtain energy, as evidenced by the analysis of planet development. The technospheric evolution into a nature-like product will reflect the interaction of matters and allow for a meta-disciplinary science. The paper presents a series of criteria for ecological assessment of soils for the future. In this regard, the creation and implementation of agricultural technologies adapted to modern conditions is of paramount importance. Based on a feasibility study, it was proposed to develop agricultural technologies that should maximize the use of new types of energy and the interaction between elements of ecosystems from notable to high-intensity, followed by adequate quality products obtained with minimal biological losses. The promotion of optimal agricultural landscapes in the regions will be facilitated by land management with inherent nature conservation measures that imply adopting scientifically based crop rotations and agricultural technologies. These results are applicable for agricultural regions of the country involved in the production of agricultural products within ecological farming.