Abstract
The following research work focused on designing an electronic control system proportional to the height of target plants to optimize the use of pesticides in the agricultural sector, in order to reduce the risk of human intoxication by direct contact. This design also aims to reduce the imminent effects from the contamination of ecosystems due to the excessive use of agrochemicals for pest control, which carry a series of risks if they are not properly managed. This device allows, through the use of infrared range sensors, for obtaining individualized data on each plant or vegetable for fumigation, such as their position and size in the fields. The VDI 2206 design methodology was use as a basis for this design. As a result, a mechatronic spraying device with proportional control governed by an embedded system that processes information collected by proximity sensors was acquired to customize selective dosages to each plant. This chapter concludes that proportional control is suitable for this remote system because it not only allows the farmer to remain isolated from pesticides but also has a high response time, which is ideal for selectively applying agrochemicals.
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References
Food and Agriculture Organization of the United Nations FAO. (2014). Family farming in Latin America and the Caribbean: Policy recommendations. E-ISBN 978-92-5-308364-0.
World Health Organization. Pesticide residues in food. [Online]. Available at: https://www.who.int/es/news-room/fact-sheets/detail/pesticide-residues-in-food
Jiménez, A. O., Rodríguez, F. S., & Castuera, M. H. (2011). Estimation of the degree of knowledge about the chemical risk in Badajoz workers. Journal of Toxicology, 28(2), 158–165.
Calaf, G. M. (2021). Role of organophosphate pesticides and acetylcholine in breast carcinogenesis. In Cancer biology seminars (Vol. 76, pp. 206–217). Academic Press.
Ba Hashwan, S. S., Khir, M. H. B. M., Al-Douri, Y., & Ahmed, A. Y. (2020). Recent progress in the development of biosensors for chemicals and pesticides detection. IEEE Access, 8, 82514–82527. https://doi.org/10.1109/ACCESS.2020.2991380
Ministry of Health MINSA. Health situation room. Epidemiological surveillance of the risk of exposure and poisoning by pesticides. Available at: https://www.dge.gob.pe/portal/docs/tools/Vplaguicidas040718.pdf
Dong, Y., et al. (2020). Automatic system for crop pest and disease dynamic monitoring and early forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4410–4418. https://doi.org/10.1109/JSTARS.2020.3013340
World Bank. Agriculture and food. [Online]. Last update: September 23, 2019. Available at: https://www.bancomundial.org/es/topic/agriculture/overview
Huachos, H., & Maribel, K. (2017). The use of chemical pesticides in potato crops (Solanum Tuberosum L), Its relationship with the environment and health.
Mogili, U. R., & Deepak, B. B. V. L. (2018). Review on application of drone systems in precision agriculture. Procedia Computer Science, 133, 502–509.
Grimstad, L., & From, P. J. (2017). Thorvald II-a modular and re-configurable agricultural robot. IFAC-PapersOnLine, 50(1), 4588–4593.
Razvarz, S., Vargas-Jarillo, C., Jafari, R., & Gegov, A. (2019). Flow control of fluid in pipelines using PID controller. IEEE Access, 7, 25673–25680. https://doi.org/10.1109/ACCESS.2019.2897992
Chen, T., & Meng, F. (2018). Development and performance test of a height-adaptive pesticide spraying system. IEEE Access, 6, 12342–12350. https://doi.org/10.1109/ACCESS.2018.2813667
Minov, S. V., Cointault, F., Vangeyte, J., Pieters, J. G., & Nuyttens, D. (2015). Pesticide spray characterization using high speed imaging techniques. Agriculture and Agricultural Science Procedia, 7, 280–286. https://doi.org/10.1016/j.aaspro.2015.12.048
Gausemeier, J., & Moehringer, S. (2002). VDI 2206-a new guideline for the design of mechatronic systems. IFAC Proceedings Volumes, 35(2), 785–790.
Rivera, G., et al. (2019). Mechatronic device for the analysis and mitigation of involuntary movements in people with Parkinson’s disease. UTE Approach, 10(1), 153–172.
Gómez, M., Pedro, F., et al. (2019). Automation of greenhouse pesticide application: Design and construction. Electronic Vision, 2(1), 129–133.
Medina, C. E. G., Hernández, D. A. B., & Alejandro, D. (2018). Knapsack sprayer with electronic flow control.
Onorato, A., & Tesouro, M. O. (2004). Anti-drift performance of an air-induced hollow cone agricultural spray nozzle. ESTUARY. Revista de Investigaciones Agropecuarias, 33(3), 3–13.
González, V., Cristian, O., et al. (2017). Bluetooth technologies applied to the control of unmanned land vehicles for spraying agrochemicals on ornamental plants. Scientific, 21(2), 127–134.
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Oré, J.D.S., Quesada, C.R., Huamanchahua, D. (2024). The Design of an Automatic Proportional Electronic Flow Control System for Applying Agricultural Pesticides. In: Yeom, S. (eds) 4th International Conference on Electronics and Signal Processing. ICESP 2023. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-36670-3_9
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