Variable-rate spray system for unmanned aerial applications using lag compensation algorithm and pulse width modulation spray technology

Published: 31 October 2023
Abstract Views: 679
PDF: 191
HTML: 3
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

To ensure that a variable-rate spray (VRS) system can perform unmanned aerial spray in accordance with a prescription map at different flight speeds, we examine in this paper such significant factors as the response time of the VRS system and the pressure fluctuation of the nozzle during the variable-rate spraying process. The VRS system uses a lag compensation algorithm (LCA) to counteract the droplet deposition position lag caused by the system response delay. In addition, pulse width modulated solenoid valves are used for controlling the flowrates of the nozzles on the variablerate spray system, and a mathematical model was constructed for the spray rate (L min-1) and the relative proportion of time (duty cycle) each solenoid valve is open. The pressure drop and solenoid valve response time at different duty cycles (50~90%) were measured by indoor experiments. Meanwhile, the lag distance (LD), spray accuracy, and droplet deposition characteristics of the VRS system were tested by conducting outdoor experiments at different flight speeds (4m s-1, 5m s-1, 6m s-1). The results show that LCA can effectively reduce the LD. The LD values of the VRS system with LCA ranged from -0.27 to 0.78m with an average value of 0.32m, while without LCA, the LD values increased to 3.5~4.3m with an average value of 3.87m. The overall spray position accuracy was in the range of 91.56~97.32%. Furthermore, the spray coverage and deposition density, determined using water sensitive paper, were used to evaluate the spray application performance taking into account the spray volume applied. The VRS system can provide the most suitable spray volumes for insecticide and fungicide plant protection products. Based on a prescription map, the optimized VRS system can achieve accurate pesticide spraying as well as desirable spray coverage and deposition density.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Baio F.H.R., Neves D.C., Souza H.B., Leal A.J.F., Leite R.C., Molin J.P., Silva S.P. 2018. Variable rate spraying application on cotton using an electronic flow controller. Precis. Agric. 19:912-28.
Biglia A., Grella M., Bloise N., Comba L., Mozzanini E., Sopegno A., Pittarello M., Dicembrini E., Alcatrão L.E., Guglieri G. 2022. Uav-spray application in vineyards: flight modes and spray system adjustment effects on canopy deposit, coverage, and off-target losses. Sci. Total Environ. 845:157292.
Butts T.R., Butts L.E., Luck J.D., Fritz B.K., Hoffmann W.C., Kruger G.R., 2019. Droplet size and nozzle tip pressure from a pulse-width modulation sprayer. Biosyst. Eng. 178:52-69.
Cerruto E., Manetto G., Longo D., Failla S., Papa R. 2019. A model to estimate the spray deposit by simulated water sensitive papers. Crop Prot. 124:104861.
Chen P., Ouyang F., Wang G., Qi H., Xu W., Yang W., Zhang Y., Lan Y. 2021. Droplet distributions in cotton harvest aid applications vary with the interactions among the unmanned aerial vehicle spraying parameters. Ind. Crop. Prod. 163:113324.
Chen Y., Ozkan H.E., Zhu H., Derksen R.C., Krause C.R. 2013. Spray deposition inside tree canopies from a newly developed variable-rate air-assisted sprayer. T. Asabe. 56:1263-72.
Deakin R.E., Hunter M.N. 2009. Geodesics on an ellipsoid-bessels method. School of Mathematical and Geospatial Sciences, RMIT University.
Fabiani S., Vanino S., Napoli R., Zajíček A., Duffková R., Evangelou E., Nino P. 2020. Assessment of the economic and environmental sustainability of variable rate technology (vrt) application in different wheat intensive European agricultural areas. A water energy food nexus approach. Environ. Sci. Policy. 114:366-76.
Giles D.K., Comino J.A. 1989. Variable flow control for pressure atomization nozzles. SAE transactions. pp. 237-49.
Gómez-Candón D., De Castro A.I., López-Granados F. 2014. Assessing the accuracy of mosaics from unmanned aerial vehicle (uav) imagery for precision agriculture purposes in wheat. Precis. Agric. 15:44-56.
Gómez-Candón D., López-Granados F., Caballero-Novella J.J., Peña-Barragán J.M., García-Torres L. 2012. Understanding the errors in input prescription maps based on high spatial resolution remote sensing images. Precis. Agric. 13:581-93.
Grella M., Gioelli F., Marucco P., Zwertvaegher I., Mozzanini E., Mylonas N., Nuyttens D., Balsari P. 2022. Field assessment of a pulse width modulation (pwm) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage. Precis. Agric. 23:219-52.
Huang Y., Hoffmann W.C., Lan Y. 2008. Development of an unmanned aerial vehicle-based spray system for highly accurate site-specific application. In: 2008 Providence, Rhode
Island, June 29-July 2, 2008. Am. Soc. Agric. Biol. Eng. p. 1. Hunter J.E., Gannon T.W., Richardson R.J., Yelverton F.H., Leon R.G. 2020. Integration of remote????weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management. Pest Manag. Sci. 76:1386-92.
Jay M.L. 2003. Trends in agricultural aviation: bright spots ahead. Agric. Aviation. 30:18-23.
Jensen H.G., Jacobsen L., Pedersen S.M., Tavella E. 2012. Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in denmark. Precis. Agric. 13:661-77.
Koo Y. 2019. Nozzle pressure response characteristics of variable rate system for unmanned aerial applications. J. Biosyst. Eng. 44:1-11.
Mancini A., Frontoni E., Zingaretti P. 2019. Challenges of multi/hyper spectral images in precision agriculture applications. IOP conference series. Earth Environ. Sci. 275:12001.
Mangus D.L., Sharda A., Engelhardt A., Flippo D., Strasser R., Luck J.D., Griffin T., 2017. Analyzing the nozzle spray fan pattern of an agricultural sprayer using pulse width modulation technology to generate an on-ground coverage map. T. Asabe. 60:315-25.
Miranda M.P., Da Silva Scapin M., Vizoni M.C., Zanardi O.Z., Eduardo W.I., Volpe H.X.L. 2021. Spray volumes and frequencies of insecticide applications for suppressing diaphorina citri populations in orchards. Crop Prot. 140:105406.
Nowak E., Nowak Da Costa J. 2022. Theory, strict formula derivation and algorithm development for the computation of a geodesic polygon area. J. Geodesy. 96:1-23.
Qi H., Zhou J., Li C., Chen P., Liang Y., Huang G., Zou J. 2021. Feasibility of variable rate spraying of centrifugal uav using network rtk. Trans. Chin. Soc. Agric. Eng. 37:81-9.
Salcedo R., Zhu H., Jeon H., Ozkan E., Wei Z., Gil E. 2022. Characterisation of activation pressure, flowrate and spray angle for hollow-cone nozzles controlled by pulse width modulation. Biosyst. Eng. 218:139-52.
Salcedo R., Zhu H., Ozkan E., Falchieri D., Zhang Z., Wei Z., 2021. Reducing ground and airborne drift losses in young apple orchards with pwm-controlled spray systems. Comput. Electron. Agr. 189:106389.
Salcedo R., Zhu H., Zhang Z., Wei Z., Chen L., Ozkan E., Falchieri D. 2020. Foliar deposition and coverage on young apple trees with pwm-controlled spray systems. Comput. Electron. Agr. 178:105794.
Seong J.C., Choi J. 2007. Geodist: a c++ program for calculating geodesic distances with a shapefile. Comput. Geosci. Uk. 33:705-8.
Shi Q., Liu D., Mao H., Shen B., Li M. 2021. Wind-induced response of rice under the action of the downwash flow field of a multi-rotor uav. Biosyst. Eng. 203:60-9.
Silva J.E., Zhu H., Cunha J.P.A.R. 2018. Spray outputs from a variable-rate sprayer manipulated with pwm solenoid valves. Appl. Eng. Agric. 34:527-34.
Smith L.A. 2001. Automatic flow control for aerial applications. Appl. Eng. Agric. 17:449.
Thomson S.J., Smith L.A., Hanks J.E. 2009. Evaluation of application accuracy and performance of a hydraulically operated variable-rate aerial application system. T. Asabe. 52:715-22.
Yang C., Martin D.E. 2017. Integration of aerial imaging and variable-rate technology for site-specific aerial herbicide application. T. Asabe. 60:635-44.
Yang S., Yang X., Mo J. 2018. The application of unmanned aircraft systems to plant protection in china. Precis. Agric. 19:278-92.
Zhu H., Lan Y., Wu W., Hoffmann W.C., Huang Y., Xue X., Liang J., Fritz B. 2010. Development of a pwm precision spraying controller for unmanned aerial vehicles. J. Bionic Eng. 7:276-83.
Zhu H., Salyani M., Fox R.D. 2011. A portable scanning system for evaluation of spray deposit distribution. Comput. Electron. Agr. 76:38-43.

How to Cite

Wang, Z. (2023) “Variable-rate spray system for unmanned aerial applications using lag compensation algorithm and pulse width modulation spray technology”, Journal of Agricultural Engineering, 55(1). doi: 10.4081/jae.2023.1547.

Similar Articles

<< < 27 28 29 30 31 32 33 34 35 36 > >> 

You may also start an advanced similarity search for this article.