Ilmārs Apeināns presented the work “Experimental Comparison of Convolutional Neural Network Architecture Aggregation” and spoke about the testing of neural network model aggregation on mobile devices.
Vitālijs Žukovs presented the work “Deep Training for Apple and Pear Recognition” explaining how the neural network model for fruit recognition was developed.
The project team would like to express a special gratitude to Tatjana Aleško, student of the RTA master's study programme “Information Systems of Electronic Commerce”, who conducted a public survey with the aim to find out citizens interest in horticulture. Based on the analysis of statistical data and questionnaire results, T. Aleško developed economic analysis what a smart gardening system, created within the project Izp-2019/1-0094, can produce.
Student work was supervised by researchers Dr.sc.ing. Sergejs Kodors and Dr.sc.ing. Imants Zarembo.