Positioning System of Working Bodies in Differential Spraying of Plants
https://doi.org/10.22314/2073-7599-2024-18-1-96-100
EDN: DFOKEB
Abstract
The paper highlights that the escalation in the use of pesticides and agrochemicals poses a significant risk to human health, environmental integrity, and food safety. The predominant method of pesticide application is crop spraying. Improved efficiency and quality of spraying, coupled with a reduction in drug costs, can be achieved by transitioning to differential treatment of agricultural land and precision dose regulation. The incorporation of robotic devices offers a promising solution to facilitate the process of plant protection. (Research purpose) The research aims to develop a positioning system for a robotic differential spraying device. (Materials and methods) were subjected to chemical treatment by an autonomous field robot, and the quality of spraying was assessed using a nozzle. (Results and discussion) The research established a relationship between calculating the nozzle capture angle of an individual plant and the angle of lever lift. Subsequently, a computerized spraying model was developed, enabling the adjustment of various parameters and benchmarking the proposed differential spraying method against the traditional one. The variation coefficient, reflecting the uniformity of droplet distribution on the plant surface, was calculated. The results indicate that the variation coefficient is dependent on the speed and distance of spraying in different operating modes, including individual plant spraying and row spraying. (Conclusions) The variation coefficient for the traditional spray method was 46 percent. With the adoption of differential spraying methods, this variation coefficient decreased to 25-28 percent for individual plant spraying and 33-40 percent for row spraying. Field studies further demonstrated a variation coefficient of 19-24 percent for individual plant spraying in contrast to 30-35 percent for row-spray treatments.
About the Authors
M. A. MirzaevRussian Federation
Maksim A. Mirzaev - junior researcher.
Moscow
I. G. Smirnov
Russian Federation
Igor G. Smirnov - Dr.Sc.(Eng.), chief researcher.
Moscow
References
1. Abrosimova M.S., Ivanov E.A., Kochergina S.G. State and development trends in the region’s agriculture. . 2018. Vol. 19. N4. 977-990 (In Russian). DOI: 10.18334/гр.19.4.39006. EDN: UQAFGE.
2. Izmaylov A.Yu., Lichman G.I., Marchenko N.M. Precision agriculture: problems and solutions. Agricultural machinery and technologies. 2010. N5. 9-14 (In Russian). EDN: MWLXCJ.
3. Izmaylov А.Yu., Lobachevsky Ya.Р., Tsench Yu.S., et al. About synthesis of robotic agriculture mobile machine. Vestnik of the Russian agricultural sciences. 2019. N4. 63-68 (In Russian). DOI: 10.30850/vrsn/2019/4/63-68. EDN: GBEQZI.
4. Mandal A., Sarkar B., Mandal S., Vithanage M. Impact of agrochemicals on soil health. Agrochemicals Detection, Treatment and Remediation. 2020. N7. 161-187 (In English). DOI: 10.1016/B978-0-08-103017-2.00007-6.
5. Kozubenko I.S., Savin I.Yu. Satellite data in the agro-industrial complex management of the region. Vestnik of the Russian agricultural sciences. 2017. N5. 9-11 (In Russian). EDN: ZWIEXH.
6. Huang S., Tang L., Hupy J.P., Wang Y. A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research. 2021. Vol. 32. N1. 1-6. DOI:10.1007/s11676-020-01155-1.
7. Smirnov I.G., Kurbanov R.K., Marchenko L.A., Gorshkov D.M. Differential spraying of farmland via unmanned aerial vehicles. Electrical technology and equipment in the Agro-Industrial Complex. 2019. N4(37). 30-35 (In Russian).
8. Romanenkova M.S., Balabanov V.I. Application of digital technologies in plant crops. Science in the Central Russia. 2020. N2(44). 74-82 (In Russian). DOI: 10.35887/2305-2538-2020-2-74-82. EDN: ZSKSNJ.
9. Lichman G.I., Marchenko N.M. Space monitoring in the precision agriculture system. Agricultural machinery and technologies. 2010. N1. 27-31 (In Russian). EDN: KYUHTT.
10. Shalova S.Kh., Zagazezheva O.Z. Overview of agricultural robots market and their impact on economic development. Izvestiya SFedU. Engineering Sciences. 2019. N7(209). 57-70 (In Russian). DOI: 10.23683/2311-3103-2019-7-57-70.
11. Izmaylov А.Yu., Lobachevsky Ya.Р., Tsench Yu.S. et al. About synthesis of robotic agriculture mobile machine. Vestnik of the Russian agricultural science. 2019. N4. 63-68 (In Russian). https://doi.org/10.30850/vrsn/2019/4/63-68.
12. Shishatskiy O.N. Global crop protection industry. Journal of Siberian Federal University. Biology. 2021. Vol. 14. N4. 541-549 (In Russian). DOI: 10.17516/1997-1389-0371.
13. Mirzaev M.A. Design of an autonomous field robot for differential application of agrochemicals. Electrical technology and equipment in the Agro-Industrial Complex. 2021. Vol. 68. N4(45). 131-136 (In Russian). DOI: 10.22314/2658-4859-2021-68-4-131-136. EDN: NBJZNR.
Review
For citations:
Mirzaev M.A., Smirnov I.G. Positioning System of Working Bodies in Differential Spraying of Plants. Agricultural Machinery and Technologies. 2024;18(1):96-100. (In Russ.) https://doi.org/10.22314/2073-7599-2024-18-1-96-100. EDN: DFOKEB