EXPERT SYSTEMS OF PROGRAM MANAGEMENT IN PRECISION FARMING

Abstract

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.