The studies were carried out in order to justify the possibilities of increasing crop production based on the effective use of approaches and methods used in information systems for the choice of agricultural technologies, taking into account the agroecological, soil-climatic and production conditions of agricultural producers. Evaluation of information systems developed for the farms of the Russian Federation was carried out according to the following indicators: consideration of factors limiting grain production; availability of criteria for assessing agricultural technologies; type of information system. Agroecological, soil, climatic and production conditions, as well as the level of intensification, are identified as factors limiting grain production. The selection includes both search databases and management decision support systems that highlight approaches and methods for solving the problem of choosing agrotechnology for the production of grain crops. In approaches based on the general principle of taking into account the influence of factors of the location of the economy and its production conditions, economic evaluation of options is carried out after the choice of agricultural technology. When using economic and mathematical models, the choice of agricultural technologies is based on the economic assessment of alternative options. These approaches are implemented both in the form of local information systems, and systems based on cloud technologies. Based on the research results, systems based on economic-mathematical models and made in the form of web applications are recognized as the most promising. A generalized architecture of applications executed in the form of Web applications is given. The use of information systems (cloud technologies) for the analysis of natural factors, the use of technology and the potential of agricultural practices, crops and varieties will allow us to predict the possible result from making managerial decisions aimed at increasing grain production due to the integrated consideration of the agroecological, soil-climatic and production conditions of a particular agricultural producer.
