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Development and Evaluation of an Optical Sensing System for Detection of Herbicide Spray Droplets

DOI: 10.4236/ait.2021.111001, PP. 1-9

Keywords: Near Infrared (NIR) Sensor, Spray Drift, Droplet Detection, Plant Protection

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Abstract:

Real time monitoring of herbicide spray droplet drift is important for crop production management and environmental protection. Existing spray droplet drift detection methods, such as water-sensitive paper and tracers of fluorescence and Rubidium chloride, are time-consuming and laborious, and the accuracies are not high in general. Also, the tracer methods indirectly quantify the spray deposition from the concentration of the tracer and may change the drift characteristics of the sprayed herbicides. In this study, a new optical sensor system was developed to directly detect the spray droplets without the need to add any tracer in the spray liquid. The system was prototyped using a single broadband programmable LED light source and a near infrared sensor containing 6 broadband spectral detectors at 610, 680, 730, 760, 810, and 860 nm to build a detection system for monitoring and analysis of herbicide spray droplet drift. A rotatory structure driven by a stepper motor in the system was created to shift the droplet capture line going under the optical sensor to measure and collect the spectral signals that reflect spray drift droplets along the line. The system prototype was tested for detection of small (Very Fine and Fine), medium (Medium), and large (Coarse) droplets within the droplet classifications of the American Society of Agricultural and Biological Engineers. Laboratory testing results indicated that the system could detect the droplets of different sizes and determine the droplet positions on the droplet capture line with 100% accuracy at the wavelength of 610 nm selected from the 6 bands to detect the droplets.

References

[1]  Gianessi, L.P. (2005) Economic and Herbicide Use Impacts of Glyphosate-Resistant Crops. Pest Management Science, 61, 241-245.
https://doi.org/10.1002/ps.1013
[2]  Teske, M.E., Bird, S.L., Esterly, D.M., Curbishley, T.M., Ray, S.L. and Perry, S.G. (2002) AgDRIFT®: A Model for Estimating Near-Field Spray Drift from Aerial Applications. Environmental Toxicology and Chemistry, 21, 659-671.
https://doi.org/10.1002/etc.5620210327
[3]  Teske, M.E., Thistle, H.W. and Ice, G.G. (2003) Technical Advances in Modeling Aerially Applied Sprays. Transactions of the ASAE, 46, 985-996.
https://doi.org/10.13031/2013.13955
[4]  Smith, D.B., Bode, L.E. and Gerard, P.D. (2000) Predicting Ground Boom Spray Drift. Transactions of the ASAE, 43, 547-553.
https://doi.org/10.13031/2013.2734
[5]  Huang, Y., Hoffmann, W.C., Lan, Y. and Fritz, B.K. (2009) Development of a Spray System on an Unmanned Aerial Vehicle Platform. Applied Engineering in Agriculture, 25, 803-809.
https://doi.org/10.13031/2013.29229
[6]  Huang, Y., Zhan, W., Fritz, B.K., Thomson, S.J. and Fang, A. (2010) Analysis of Impact of Various Factors on Downwind Deposition Using a Simulation Method. Journal of ASTM International, 7, 1-11.
https://doi.org/10.1520/JAI102771
[7]  Smith, H.C., Ferrell, J.A., Webster, T.M. and Fernandez, J.V. (2017) Cotton Response to Simulated Auxin Herbicide Drift Using Standard and Ultra-Low Carrier Volumes. Weed Technology, 31, 1-9.
[8]  Brain, R.A., Perine, J., Cooke, C., Butler, E.C., Harrington, P., Lane, A., Sullivan, C. and Ledson, M. (2017) Evaluating the Effects of Herbicide Drift on Non-Target Terrestrial Plants: A Case Study with Mesotrione. Environmental Toxicology and Chemistry, 36, 2465-2475.
https://doi.org/10.1002/etc.3786
[9]  Fritz, B.K. (2006) Meteorological Effects on Deposition and Drift of Aerially Applied Sprays. Transactions of the ASABE, 49, 1295-1301.
https://doi.org/10.13031/2013.22038
[10]  Fritz, B.K., Bagley, B., Hoffmann, W.C. and Lan, Y. (2008) Spray Spectrum Modifications through Changes in Airspeed to Minimize Drift. NAAA/ASABE Paper No. AA08-002, National Agricultural Aviation Association, Washington DC.
[11]  Carlsen, S.C., Spliid, N.H. and Svensmark, B. (2006) Drift of 10 Herbicides after Tractor Spray Application. 2. Primary Drift (Droplet Drift). Chemosphere, 64, 778-786.
https://doi.org/10.1016/j.chemosphere.2005.10.060
[12]  Wen, Y., Zhang, R., Chen, L., Huang, Y., Yi, T. and Xu, G. (2019) A New Spray Deposition Pattern Measurement System Based on Spectral Analysis of a Fluorescent Tracer. Computers and Electronics in Agriculture, 160, 14-22.
https://doi.org/10.1016/j.compag.2019.03.008
[13]  Huang, Y., Ouellet-Plamondon, C.M., Thomson, S.J. and Reddy, K.N. (2017) Characterizing Downwind Deposition of the Off-Target Drift from Aerially Applied Glyphosate Using RbCl as Tracer. International Journal of Agricultural and Biological Engineering, 10, 31-36.
[14]  Huang, Y. and Thomson, S.J. (2020) Field Evaluation of a Tri-Set Spray Nozzle for Aerial Application and Discussion on Release of Biological Control Agents. International Journal of Precision Agricultural Aviation, 3, 40-47.
https://doi.org/10.33440/j.ijpaa.20200302.75
[15]  ASABE (2009) S572.1: Spray Nozzle Classification by Droplet Spectra. ASABE, St. Joseph.

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