Relevance. The concept of precision agriculture call for the use of physical and mathematical, technical and software tools for obtaining and processing information about agroecosystems, as well as for the implementation of agricultural practices directly in the field. To date, there are quite a few software products that can control the production of crops, in particular, the management of differentiated fertilization and compliance with elements of cultivation technology. The purpose of our research conducted over two years was to develop and test in real field conditions algorithms for the functioning of the module of the information and analytical system of crop management for specialized crop rotations involving flax.Methods. The objects of research were the elements of the information and analytical management system for resource-saving production of crop production "Vash urozhaj" (IASUR) and flax-long-lived variety Tonus (selection of the FSBI FNC LC). The experiment used an electronic field map in kml file format containing the coordinates of points, quantitative characteristics of indicators of the content of nutrients and chemical elements in elementary areas within the surveyed spatial object, a technological map of the cultivation of flax, developed specifically for this variety, task maps for the application of solid and liquid fertilizers in .csv file format.Results. Developed and formed in the information and analytical system "Vash urozhaj" electronic technological map of the cultivation of flax-long-legged variety Tonus, containing a list of technological operations, timing and quality characteristics of their implementation, including a possible set of machinery and equipment. The possibility has been tested and the effectiveness of the module for obtaining climatically secured flax yield has been determined — the planned estimated yield for this flax variety at the pilot site is 4.3 c/ha. When cultivated according to the technology adopted in the Federal Scientific Center of Bast Cultures, introduced into the agroplatform, a yield of 4.0 c/ha was obtained. The yield deviation by 6.98% relative to the calculated one is due to the weather features of the growing season of 2021.