Agricultural Technology Management Research Articles

INFORMATION TECHNOLOGY BASE OF INTELLECTUALIZATION OF AGROTECHNOLOGY MANAGEMENT

Digitalization and intellectualization have now become factors in the accelerated development of modern agriculture. At the same time, the leading factor is the management intellectualization, which is always aimed at replacing a person in the control loop of complex objects, including agricultural technologies. This entails a significant complication of the intelligent control systems (IMS) themselves. The paper presents one of the areas of intellectualization based on cloud information technologies. Particular attention is paid to the IMS practical feasibility, taking into account the insufficient qualifications of personnel operating these systems in production conditions. The widespread usage of expert MIS is proposed, in which knowledge bases (KB) are formed by means of analytical management systems used as an "ideal teacher" in regional data processing centers, stored in cloud information systems and transferred to local MIS at their request. The purpose of the work is to substantiate the structure of the information and technical base for the intellectualization of the agricultural technologies management, which ensures the greatest efficiency of the IMS, with the minimum cost of funds for their implementation. A sketch of the project of the Regional Information Service Center for Expert Systems for Agricultural Technology Management (RCIO ESUA) is presented.

EXPERT SYSTEMS OF PROGRAM MANAGEMENT IN PRECISION FARMING

In agriculture, the volume and quality of the use of modern technologies, including systems for collecting, storing and processing data, is noticeably growing. This increases both the amount of data and the need for high-quality processing and reliable conclusions that you can rely on when making decisions. The lack of information for decision making leads to the fact that in the process of cultivating crops, up to 40 % of the crop is lost. Further automation of processes at all stages of the production cycle represents a higher level of digital integration, which affects the most complex organizational changes in the agricultural business, but their implementation can dramatically affect profit and competitiveness of products. The modernization of the agricultural sector is based on the transition to «intelligent agriculture». The greatest interest to science and practice is the intellectualization of agricultural technology management, where the basis is expert systems in which management decisions are made through knowledge bases (KB), formed through analytical control systems located in data centers. In this paper, we consider expert systems for the state control of spring wheat. To this type of management we attribute the task of preliminary formation of the sequence of technological operations on one growing season. In the cloud information system, the generated knowledge bases are transferred from the data center to local management systems at the request of consumers.