Experimental Studies of the Digital Twin of Plant based on Ontologies and Multi-Agent Technologies

The article discusses the results of research achieved in the field of developing an intelligent digital twin of plants (DTP). An ontological model of the crop production process is proposed, and expanded by including descriptions of physiological and technological factors: predecessors in crop rotation, seed reproduction, and consumption of macro-elements from the soil. The multi-agent DTP model has been modified to account for the morphological and physiological characteristics of crop varieties, as well as parameters for each phenological phase of the plant. A software prototype of the DTP is presented, implementing the developed methods for simulating the production process of crop plants. Experimental cultivation of crops using the DTP was conducted in the 2022/2023 season. The obtained datasets during the experiments will be used to calibrate the model and improve the accuracy of predicting plant parameters at each phenological phase.