Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

Abstract

Abstract This work is devoted to developing an automated information processing and management system based on logical artificial intelligence. The proposed system has been designed to support the process of growing agricultural and house plants. This research is one of the global trends of intelligent tools and services application in the agricultural industry for improving human environmental and food safety. This work is a practical demonstration on mivar expert systems operation in the control loop with cyclic and calendar planning of processes. The results obtained in this work can be used as an information basis for implementing automated farms in urban environments. This implementation is based on mivar knowledge base platform which allows considering individual characteristics of crop growth, making decisions in conditions of heterogeneous sensor data, and timely adjusting the process of plants growing.