DEVELOPMENT AND PERFORMANCE EVALUATION OF A MOTORIZED BATTERY-POWERED SPRAYER
- Authors
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SOYOYE Babatunde Oluwamayokun
Federal University of Technology Akure, Ondo State, NIGERIA
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FALAYI Folayan Richard
Federal University of Technology, Akure, Ondo State, Nigeria
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OGUNJIMI Jumoke Omowumi
Federal University of Technology, Akure, Ondo State, Nigeria
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OLORUNFEMI Emmanuel Olasunkanmi
Federal University of Technology, Akure, Ondo State, Nigeria
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- Keywords:
- Flow Rate, battery-powered, optimization, prime mower, field capacity
- Abstract
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The development and application of automated sprayers in agricultural practices represent a significant advancement in precision farming technology. This project aims to design, fabricate, and evaluate a motorized battery-powered sprayer tailored to enhance pesticide and herbicide application efficiency and effectiveness. The system was incorporated with spraying attachments, DC battery (UPS-12V) and DC motor as prime mover for autonomous navigation capabilities to optimize spraying operations in diverse agricultural environments and reduce the dependency on the fossil fuels. The components of the sprayer were designed following the standard engineering design procedure. The forward speed studied for the optimization of the spray nozzles were 1.8, 0.99, and 0.75 m/s with a distance of 10 m at all instances. It was recorded from the experiments that the angle of inclination of 90o had the widest coverage area. The results also showed that at a particular speed the flow rate remained constant regardless of the angle of inclination. The flow rate also varies directly with the speed of operation of the sprayer. The optimization results revealed that the sprayer performed effectively at the combination of forward speed of 1.82 m/s and angle of inclination of 90o resulting in effective field capacity of the sprayer was 54.90 m2/s.
- Author Biographies
- References
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Mahmud, M. S., Zahid, A., He, L., and Martin, P. (2021). Opportunities and possibilities of developing an advanced precision spraying system for tree fruits. Sensors, 21(9), 3262.
Michael, C., Gil, E., Gallart, M., and Stavrinides, M. C. (2020). Influence of spray technology and application rate on leaf deposit and ground losses in mountain viticulture. Agriculture, 10(12), 615.
Mitchell, J. J., Shrestha, R., Spaete, L. P., and Glenn, N. F. (2015). Combining airborne hyperspectral and LiDAR data across local sites for upscaling shrubland structural information: Lessons for HyspIRI. Remote Sensing of Environment, 167, 98-110.
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Wang, C., Liu, Y., Zhang, Z., Han, L., Li, Y., Zhang, H., Wongsuk, S., Li, Y., Wu, X. and He, X. (2022). Spray performance evaluation of a six rotor unmanned aerial vehicle sprayer for pesticide application using an orchard operation mode in apple orchards. Pest Management Science, 78(6), 2449-2466.
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- 2025-05-30
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