Model, algorithm and computer application for automated selection of varieties and hybrids of grain crops

Under the conditions of modern high-tech agricultural production, there is a need to develop tools contributing to the scientifically based selection of adaptive varieties and hybrids, considering agrotechnological and soil-climatic features specific for each individual agricultural system. Their development and further implementation in agriculture will contribute to stable and profitable yields of grain crops. Solving this problem, issues related to the definition of criteria that accurately describe the characteristics of the conditions and the degree of their impact on cultivated varieties and hybrids of grain crops are of great importance. The process of cultivar changing due to the changes of climatic, environmental, economic and other conditions is quite common in agriculture and therefore, there is an obvious need of agricultural producers for development of such software. As a result of the research work, a concise mathematical model, an algorithm, a database structure and software were developed to enable obtaining a list of most appropriate varieties/hybrids of main grain crops for the conditions of the European part of the Russian Federation on the basis of user-defined parameters (depending on the selected grain crop). The software was designed in the form of a Web-application accessible from any device connected to the Internet, and the program interfaces were fitted for personal computers, tablet devices and smartphones. The application allows flexible configuration to add new crops, varieties (hybrids) and parameters without changing the source code of the program modules.