Issue №: 3 (130)
The journal solves the problems of creation and improvement of machinery and technologies for agriculture: 131 - Applied Mechanics, 132 - Materials Science, 133 - Industrial Engineering, 141 - Power Engineering, Electrical Engineering and Electromechanics, 208 - Agricultural Engineering
INVESTIGATION OF PNEUMATIC CLEANING SYSTEM EFFECTIVENESS FOR RADAR NAVIGATION SENSORS ON SELF-PROPELLED SPRAYERS IN FIELD CONDITIONS
Ihor OSADCHYI – Postgraduate Student of National university of life and environmental science of Ukraine, (03041, Ukraine, Kyiv, Heroes of Defense St., building 15, 03041, e-mail: igorubee@gmail.com, http://orcid.org/).
The article is devoted to experimental research of the efficiency of the pneumatic cleaning system of radar sensors of navigation systems on self-propelled sprayers in field conditions. The relevance of the research is due to the problem of contamination of visual row guidance sensors with plant residues, dust, dew and other elements, which reduces the accuracy of the navigation systems and requires frequent stops for manual cleaning.
The paper presents the design of the developed pneumatic cleaning system, which consists of an air compressor with a receiver, a distribution system, air nozzles and an electronic control unit. The technical characteristics of the system components and the principle of its operation in pulse mode are described.
Field tests were carried out during a full 24-hour work shift on a self-propelled sprayer Case Patriot with a Raven navigation system in the conditions of processing corn crops in the milk ripeness phase. The effect of different operating modes of the system (pressure 2, 4, 6, 8 bar and pulse time 1, 5, 10, 20 seconds) on the efficiency of cleaning sensors under different types of pollution and microclimatic conditions in four time periods of the day was studied.
The results showed that in the daytime, with dry dust pollution, the 4 bar mode with 5 seconds of blowing is sufficient (efficiency 95%). In the evening, with combined pollution, a pressure of 6-8 bar for 15-20 seconds is required (efficiency 75-85%). The most difficult conditions are observed at night with high humidity of 85-95%, when the maximum mode provides 80% of the cleaning efficiency. The morning period is characterized by rapid drying of wet dirt, which requires a 6-8 bar mode for 15-20 seconds (efficiency 70-78%).
The study confirms the feasibility of using pneumatic cleaning systems on self-propelled sprayers, which contributes to increasing productivity, reducing crop losses and improving the quality of technological operations.
1. Badue, C., Guidolini, R., Carneiro, R. V., Azevedo, P., Cardoso, V. B., Forechi, A., Jesus, L., Berriel, R., Paixão, T. M., Mutz, F., et al. (2021). Self-driving cars: A survey. Expert Systems with Applications, 165, 113816. DOI: https://doi.org/10.1016/j.eswa.2020.113816 [in English].
2. Gao, C., Wang, G., Shi, W., Wang, Z., & Chen, Y. (2022). Autonomous driving security: State of the art and challenges. IEEE Internet of Things Journal, 9(10), 7572–7595. DOI: https://doi.org/10.1109/JIOT.2021.3118575 [in English].
3. Litman, T. (2021). Autonomous vehicle implementation predictions. Victoria Transport Policy Institute. URL: https://www.vtpi.org/avip.pdf [in English].
4. Society of Automotive Engineers. (2021). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles (SAE J3016). SAE International. [in English].
5. Chen, Z., Yin, J., Farhan, S. M., Liu, L., Zhang, D., Zhou, M., & Cheng, J. (2025). A comprehensive review of obstacle avoidance for autonomous agricultural machinery in multi-operational environments. Smart Agricultural Technology, 6, 100081. URL: https://www.sciencedirect.com/science/article/pii/S2589721725000819 [in English].
6. Machavaram, A. R. (2025). Intelligent path planning for autonomous ground vehicles in dynamic environments utilizing adaptive neuro-fuzzy control. Engineering Applications of Artificial Intelligence, 144, 110119. DOI: https://doi.org/10.1016/j.engappai.2025.110119 [in English].
7. Trierweiler, M., Peterseim, T., & Neumann, C. (2020). Automotive LiDAR pollution detection system based on total internal reflection techniques. In Proceedings of SPIE 11302. DOI: https://doi.org/10.1117/12.2538416 [in English].
8. Son, S., Lee, W., Lee, J., Lee, J., Lee, H., Jang, J., Cha, H., Bae, S., & Ryu, H.-C. (2024). Examining the optimization of spray cleaning performance for LiDAR sensor. Applied Sciences, 14(18), 8340. DOI: https://doi.org/10.3390/app14188340 [in English].
9. Göktürk, K., & Jönsson, A. (2019). Developing a resource-efficient sensor cleaning system for autonomous heavy vehicles (Master’s thesis). KTH Royal Institute of Technology. URL: https://www.diva-portal.org/smash/record.jsf?pid=diva2:1371223 [in English].
10. Porav, H., Bruls, T., & Newman, P. (2019). I can see clearly now: Image restoration via de-raining. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (pp. 7087–7093). https://www.robots.ox.ac.uk/~mobile/Papers/ICRA19_porav.pdf [in English].
11. Kenk, M. A., & Hassaballah, M. (2020). Vehicle detection in adverse weather. arXiv preprint. URL: https://arxiv.org/abs/2008.05402 [in English].
12. Pao, W. Y., Howorth, J., Li, L., Agelin-Chaab, M., Roy, L., Knutzen, J., Baltazar-y-Jimenez, A., & Muenker, K. (2024). Investigation of automotive LiDAR vision in rain from material and optical perspectives. Sensors, 24(10), 2997. DOI: https://doi.org/10.3390/s24102997 [in English].
13. Byeon, M., & Yoon, S. W. (2020). Analysis of automotive LiDAR sensor model considering scattering effects in regional rain environments. IEEE Access, 8, 102669–102679. DOI: https://doi.org/10.1109/ACCESS.2020.2990156 [in English].
About journal
The magazine "Engineering, Energy, Transport AIC" is included in the list of scientific professional editions of Ukraine on technical sciences
(Category "Б", Order of the Ministry of Education and Science of Ukraine dated 02.07.2020 №886)
According to the decision of National Council of Television and Radio Broadcasting of Ukraine from 25.04.2024 No. 1337 the scientific journal «Engineering, Energy, Transport AIC» has the ID of the Media R30-05173.
The journal "Engineering, Energy, Transport AIC" is indexed according to the following databases and catalogs:
Certificate of state registration of mass media: No. 21906-11806 P dated 03/12/2016.
Founder of the journal: Vinnytsia National Agrarian University
Type of publication: journal
Kind of publication: scientific
Publication status: domestic
Year of foundation: 1997
Periodicity: 4 times per year
Volume: 18-20 conv. print. sheet (А4)
ISSN: 2520-6168 (print version), (online version)
Language of publication: (mixed languages) Ukrainian, English
The sphere of distribution and category of readers: national, foreign, faculty, scientists, entrepreneurs.
The periodical edition is included to the List of scientific professional publications of Ukraine on technical sciences, approved by order of the Ministry of Education and Science of Ukraine in 05.16.2016, No. 515.
The journal "Engineering, Energy, Transport AIC" is included in the "Catalog of Ukrainian Publications".
Subscription to the journal can be issued in each post office. The subscription index is 99720.
Technology, energy, agriculture transport AIC is a scholarly professional journal with a long-standing history and stable academic tradition, reflecting the evolution of engineering and technical sciences within the agro-industrial sector of Ukraine.
The journal was founded in 1997 under the title Bulletin of Vinnytsia State Agricultural Institute. According to the Resolution of the Presidium of the Higher Attestation Commission of Ukraine dated September 11, 1997, the publication obtained the status of a professional scientific journal, which enabled the publication of the main results of doctoral and candidate dissertations in technical sciences. From its inception, the journal positioned itself as an academic platform for addressing current issues of mechanization, electrification, and technical support of agricultural production.
During 2001–2014, the journal was published under the title Proceedings of Vinnytsia National Agrarian University. Series: Technical Sciences (State Registration Certificate of Print Media KV No. 16644-5116 PR dated April 30, 2010). Throughout this period, a systematic approach to the selection and peer review of scientific manuscripts was established, the thematic scope of publications was expanded, and continuity of scientific directions as well as the development of sectoral engineering schools was ensured.
Since 2015, the journal has been published under its current title, Technology, energy, agriculture transport AIC (State Registration Certificate No. 21906-11806 R dated March 12, 2016). The change of title reflected the expansion of the journal’s thematic coverage and its orientation toward interdisciplinary research in mechanical engineering, energy systems, electrical engineering, transport technologies, automation, and digital solutions for the agro-industrial complex.
The journal consistently adheres to the principles of open science. All published materials are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), ensuring open access to research results provided proper attribution to the authors and the original publication is maintained.
At present, Technology, energy, agriculture transport AIC is an authoritative professional scientific journal (Category B), providing a platform for the publication of fundamental and applied research results, promoting the integration of education, science, and industry, and contributing to the advancement of engineering and technological support of the agro-industrial complex of Ukraine.





