UDG and NCC Montenegro team members won a grant from ANSO – Alliance of International Science Organizations. This project aims development of a competency training in Internet of Things (IoT) and Artificial Intelligence (AI) and it is focused on innovation based on IoT and AI and development of competences and skills students will needs to have competitive advantage in IoT/I in the near future. This project started at the beginning of 2022 and will be implemented until the end of 2023. Ongoing activities are including initial team preparation and analysis of the sectors (WP1). The key personnel include UDG and NCC Montenegro senior members, as well as reputable experts from China, Serbia, and Slovenia. UDG is an ANSO Member Organization. More on ANSO can be found here.
Open Mind Academy: Successful Python Course for High-school students
During the summer school of game programming, students had the opportunity to learn the basics of the Python programming language, and later the pyGame game development package within the EuroCC NCC Montenegro.
In the first part of the training, students learned why programming is so widespread today, what the basic data types are in Python, what are the conditions and loops. Also, students had the opportunity to learn what lists and dictionaries are, but also what object-oriented programming is. Besides listening to lectures, everyone who wanted to follow the second part of the training had to do homework (writing essays and programming). In the second part of the training, intensive lectures were held where the participants heard more about the Python package pyGame. This package is used to develop games in Python. Through the creation of the game, students learned how to program movement in games, detect collisions between objects, add graphics, sound. At the end of this part of the training, 4 teams were formed. The last day of training was organized as a competition between teams. Their task was to make a smaller game. The winning team won the prize to participate in this year’s conference within the EuroCC NCC Montenegro project.
It was a pleasure for us to work with such a talented group of young people who we expect will achieve great success in the future.
Digital Transformation in Agriculture: Chamber of Economy of Montenegro
As part of the Erasmus+ VIRAL project, a training was held at the Chamber of Economy of Montenegro in order to promote digital transformation and the application of ICT in agriculture. Representatives from University of Donja Gorica prepared a presentation entitled “Digital transformation in agriculture” as part of the Digital Day, on Friday, July 22, 2022. starting at 1 p.m., in the premises of the Chamber of Economy of Montenegro. As part of the presentation, an overview of the activities of the VIRAL project was given. The presentation covered foundations of the process of digital transformation and the application of ICT solutions in agriculture. During the presentation and discussions, other project relevant to ICT and digital transformation in agriculture were featured including EuroCC and AIMHiGH projects. This topic is fully in line with Montenegrin Smart Specialisation Strategy (S3 Montenegro), and we concluded that another similar workshop needs to be organized in Fall of 2022.
Industry cooperation: “Elektroprivreda” published the interview with Prof. Kezunovic
EuroCC and NCC Montenegro were featured in “Elektroprivreda”, a magazine published by the national power company EPCG. The magazine published the interview with prof. dr Mladen Kezunovic that was done during his visit to UDG and his invited lecture “AI in Energy Sector”. This effort was part of our engagement of the industry to promote AI and HPC applications and EPCG is one of the major stakeholders in energy sector in Montenegro.
BSc Thesis: The use of ML to assess plant health
Ms Almira Suljovic, a student of the Faculty of Applied Sciences, defended her BSc Thesis in Electrical Engineering and Computer Science. The topic of the thesis work was the use of machine learning to detect diseased plants by processing images of the leaves. The work included creation of a prediction model as well as the integration of the model into a mobile application for the use by farmers. She has done her thesis work under the supervision of prof. Tomo Popovic, PhD, and mr Stevan Cakic, MSc.
ABSTRACT – Early detection and prevention are one of the biggest difficulties in the field of agriculture. Late detection of plant diseases or the use of wrong pesticides often leads to crop damage, reducing food quality. As the leaf is the best indicator of whether a plant is healthy or not, we can construct prediction models using machine learning to identify leaf status in the shortest possible time, thus preventing or reducing losses. This thesis shows how to determine leaf health status using the Detectron2 software library and the faster R-CNN neural network. The model was trained using a dataset with 6407 images. The initial dataset was extended using the RoboFlow tool. Google Colab, an environment for the development of cloud computing and machine learning, was used for testing and implementation. The practical application of the machine learning model was realized using an application developed using the Flutter platform.
EuroCC and NCC Montenegro Featured in an S3 Success Stories Video
EuroCC project and NCC Montenegro were featured in success stories video for Smart Specialisation Strategy for Montenegro (S3). Ministry of science and technological development joined forces with UNDP to create a new website platform to promote and manage activities related to Montengrin S3. UDG is currently implemented several projects that are fully in line with Montenegrin S3 and H2020 EuroCC was featured in the video as one of the flagship projects for Montengrin S3. The priority domains of Montenegrin S3 are agriculture and food production, health and tourism, and energy. Information communication technology is recognized as a horizontal priority that will provide foundation for multidisciplinary research and applications. New website for S3 Montenegro can be accessed through the following link.