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.