Colorimetric Selection, User Authentication, Identification and Access Control at Agricultural Enterprises

The large volume of information flows in agricultural systems requires systematizing information resources for storing, processing, receiving and transmitting digital information. The massive information cloud carries confidential information about the entirety of agricultural processes, such as planting and harvesting various crops, cultivating land, logistics, geolocation, placement of buildings for livestock farming, financing of agricultural enterprises and others. Currently, there is a large number of information attacks on the resources of an agro-industrial complex in the digital space. Therefore, the need for information security concerns this area as well. This study is driven by the need to protect information and to control access to these resources. In this regard, there is a problem of access control and protection against unauthorized actions. Since the access control implies user authentication and identification, we propose to consider the use of colorimetric selection and the formation of a color atlas or map to address these issues. On this basis of a structural algorithmic selection scheme we propose an assessment of color quality and color selection digitalization. According to the results of the empirical analysis, a colorimetric matrix for color selection is suggested.