Engineering, Energy, Transport AIC

Oleksandr Vozniak – сandidate of Science (Engineering), Associate Professor of the Department of Electric Power Engineering, Electrical Engineering and Electromechanics of Vinnitsa National Agrarian University (3 Soniachna St., Vinnitsa, 21008, Ukraine, email: alex.voz1966@gmail.com, https://orcid.org/0000-0002-0986-6869).

Andrii Shtuts – Assistant Professor, Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3, Solnechna str., Vinnitsa, 21008, Ukraine, email: shtuts1989@gmail.com, https://orcid.org/0000-0002-4242-2100).

Andrii Bulyha – postgraduate student, Vinnytsia National Technical University (95 Khmelnytske Shosse, Vinnytsia, 21021, Ukraine, email: anbulyga@ukr.net).

Roman Kharchenko – Student, Bachelor of 4th year of study, Faculty of Engineering and Technology,
of the Vinnytsia National Agrarian University (Str. Sonyachna, 3, Vinnytsia, 21008, Ukraine, email: r.h.1998@gmail.com).

Modern image processing technologies are already widely used in agriculture. Tractors can be equipped with GPS receivers, cameras and sensors for navigation, measuring soil moisture, controlling the application of resources (such as fertilizers and pesticides), and monitoring plant growth.
Identification and analysis of the main shortcomings of existing methods of pre-processing and selection of image contours and is of particular interest in the field of processing and improving the quality of digital images in navigation systems, such as: automatic driving systems (Auto Guidance Systems)
The relevance of improving the process of image processing in navigation systems of agricultural machines in conditions of limited visibility is important for several reasons:
- effective image processing allows agricultural machines to automatically determine their location and perform navigation tasks even in difficult weather conditions when visibility is limited.
- accurate image processing can help avoid errors related to navigation, which can be critical in growing crops.
- with accurate image processing, agricultural machines can precisely determine the places where resources such as fertilizers or plant protection products need to be applied, allowing to optimize their use and reduce costs.
- conditions of limited visibility, such as fog, rain or high humidity, may affect visibility for operators.
Modern image processing technologies are already widely used in agriculture. Tractors can be equipped with GPS receivers, cameras and sensors for navigation, measuring soil moisture, controlling the application of resources (such as fertilizers and pesticides), and monitoring plant growth.
Taking into account these factors, the development and improvement of image processing technologies in the navigation systems of agricultural machines remains an important topic of research and development in the field of agriculture.

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