No abstract

A technique is proposed for forecasting water saturation of fill and undisturbed grounds used in construction when making a foundation. Dependencies are established between the content of individual granulometric fractions of grounds and their physico-mechanical properties. Reliable regression equations are obtained, which formed the basis of a mathematical model for predicting the water saturation of grounds. A software product has been developed, the work of which was tested using the example of the basic hydro-physical characteristics of the grounds differing in their properties (black earth and salt earth). The results obtained reliably prove the possibility of using the model and software product in a wide range of granulometric composition values and physical and mechanical properties of grounds.

In the practice of agricultural production, there are enough examples in the field of agriculture, when non-observance and violation of the laws of agriculture did not receive positive results. These include unjustified land reclamation, chemicalization, intensive technologies, reforming the agro-industrial complex. Taken without taking into account mutual, systemic connections, factors and methods seemed to be quite reasonable, extremely necessary, ecologically justified, and as a result, they often led to negative results of the functioning of agricultural production. In addition, it must be borne in mind that the state of agriculture has a huge impact on all aspects of the life of society and the country as a whole. It should be reminded of food independence and self-sufficiency in food. The laws of agriculture are manifested in production conditions in the universal law of conservation of matter and energy, in the system man - nature. Attempts to solve problems without scientific substantiation, bypass or ignore objective economic and natural laws have always ended in failure. In order not to unreasonably harm agroecological landscapes, an increasing number of computer techniques are proposed for modeling soil processes.

Information-computing technologies are becoming a necessary tool in solving various kinds of problems related to research in the field of agriculture. Modern methodology also does not ignore soil science and ecology. Unified databases are being created on the most important physicochemical parameters characterizing soils. This leads to the emergence of more and more promising means of computing technologies. In particular, software systems that would make it possible not only to make long-term forecasts, but also to simulate various kinds of processes. As a result, there is a gradual transition to artificial intelligence. At the same time, very broad tasks are set before him. One of them is the enhancement of human capabilities. But at the same time, one should not forget that artificial intelligence can work effectively only if tasks are prescribed for it to be performed. He is able to study, analyze, collate a huge amount of data and use the knowledge gained to properly organize the environment.

Water-physical properties of soils are a set of soil properties that determine the accumulation, preservation and water transfer in the soil stratum. One of the important indicators of water-physical properties are soil-hydrological constants. These indicators can be used in forecasting yield, calculating the irrigation rate. The determination of soil-hydrological constants is a rather laborious process. In this article, we propose to obtain soil-hydrological constants from the data of the main hydrophysical characteristics. This technique allows to analyze the data and obtain soil-hydrological constants from the data of granulometric composition. The conducted studies have shown that the use of uncontrolled irrigation has led to the transformation of water-physical properties, the content of easily mobile, productive and gravitational moisture has decreased. When modeling the MHC curve, a change in the shape on the graphs can be noted.