Engineering, Energy, Transport AIC

Svetlana KRAVETS – Assistant of the Department Engineering Mechanics and Technological Processes in the Agricultural Industry of Vinnytsia National Agrarian University (3 Sunny Street, Vinnytsia, 21008, Ukraine, email: swkravec2017@gmail.com, https://orcid.org/ 0000-0001-8296-1929).

Oleksii TOKARCHUK – Candidate of Technical Sciences, Associate Professor of the Department of Engineering Mechanics and Technological Processes in the Agricultural Industry of Vinnytsia National Agrarian University (3, Solnyshchaya St., Vinnytsia, 21008, Ukraine, e-mail: tokarchyk08@ukr.net, https://orcid.org/0000-0001-8036-1743).

The article is devoted to the research and analysis of the possibilities and benefits of the integration of artificial intelligence (AI) into the educational process of students specializing in agricultural engineering. The advantages of using AI in the educational sphere and its potential to improve the quality of education and training of future specialists are considered. In particular, attention is focused on improving students' analytical skills through the analysis of large volumes of data, optimization of agricultural processes with the help of machine learning systems, and the development of their innovative skills.
Artificial intelligence - attributes of smart systems that perform innovative functions, traditionally considered a human prerogative; the science and technology of creating intelligent machines, especially intelligent computer programs. Artificial intelligence is concerned with the task of using computers to understand human intelligence, but it is not necessarily limited to biologically feasible methods. The fields of application of modern intelligent systems are very narrow. For example, a program that can beat people at chess and cannot answer questions, etc.
The impact of AI integration on improving student success in education and preparation for the challenges of the modern agricultural sector has been studied. The conclusions of the article indicate the importance of the implementation of artificial intelligence technologies for increasing the efficiency of the educational process and training qualified personnel in the field of agricultural engineering. In addition, the article examines specific examples of the application of artificial intelligence in the educational process of agricultural engineering students, such as systems for analyzing soil and weather conditions, autonomous robots for watering and caring for crops, as well as software tools for predicting yields. Special attention is paid to the practical aspects of the implementation of AI technologies in the educational process, such as teaching methods and assessment of students' educational achievements.
The article also examines potential challenges and obstacles that may arise when integrating artificial intelligence into the education of agricultural engineers, such as the availability of technology, the preparation of teachers and students to use AI, and the ethical aspects of using algorithms and data for educational purposes.

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