Development and application of aerial spray droplets deposition performance measurement system based on spectral analysis technology

ZHANG Ruirui1 WEN Yao2 YI Tongchuan3 CHEN Liping4 XU Gang1

(1.Beijing Research Center of Intelligent Equipment for Agriculture, Beijing, China 100097)
(2.National Research Center of Intelligent Equipment for Agriculture, Beijing, China 100097)
(3.National Center for International Research on Agricultural Aerial Application Technology, Beijing, China 100097)
(4.Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing, China 100097)

【Abstract】To evaluate the droplet deposition in aerial spraying real-timely and accurately, an aerial spray pattern measurement system was designed combined with the spectral analysis and fluorescence excitation technology. The hardware of the system consisted of modules of information acquisition module, data acquisition module, and data processing module. FLAME-S-VIS-NIR micro spectrometer was selected as information acquisition module which is produced by Ocean Optics. Micro spectrometer was the core component of the aerial spray pattern measurement system. The acquisition module included microcontroller unit, droplet collection medium, ultraviolet excitation light, stepper motors, and photoelectric limiter. The software of the system included the functions of spectrometer connection, parameter setting, spectral data collection, display and storage. At first, the solutions of fluorescent tracer with mass fractions of 0.5%, 1.0% and 1.3% were sprayed individually by the sprayer installed on the agricultural plant protection unmanned aerial vehicle. The droplet deposition was collected by the droplet collection medium and water-sensitive paper synchronously. The spectral characteristic curve of droplet collection medium was scanned and saved by the software of aerial spray pattern measurement system. The spectral characteristic curve of sampling point was processed by savitzky-golay smoothing and standard normalized variate, and the trend of spectral curve was analyzed. Without the effect of ultraviolet light on the band removal of 340 nm–400 nm, the result which was observed and analyzed from the band range of 440 nm–1 014 nm showed that the spectral band range of 450 nm–460 nm presented a trough shape, and the spectral band range of 500 nm–520 nm showed peak shape. The droplet deposition characteristic parameter which was obtained from the image analysis of water-sensitive paper included impregnation area, area coverage and deposition. Compared with the results obtained by water-sensitive papers, the analysis results indicated that the solution of fluorescent tracer on the droplet capture medium produced significant fluorescence effect in the wavelength ranges of 450 nm–460 nm and 500 nm–520 nm. The spectral average values of the wavelength ranges of 450 nm–460 nm and 500 nm–520 nm were calculated. And the correlation coefficient of spectral average value and droplet deposition was up to 0.80. The results showed that it was feasible for the detection of droplet deposition characteristics based on the spectral analysis and fluorescence excitation technique. The detection effects of droplet deposition with different mass fractions of fluorescent tracer solution were analyzed. Compared with the mass fractions 0.5% and 1.3% of fluorescent tracer solution, the correlation coefficient between the spectral average value and droplet deposition was more than 0.92 when the mass fraction of fluorescent tracer solution was 1.0%. Therefore, a fluorescent tracer solution with mass fraction 1.0% was adopted for the detection of performance test of the system. The performance test of the system was carried out in the field. Fifty nine sampling points were collected effectively, and the multivariate linear regression model of the droplet deposition was built based on the spectral average value which was calculated by randomly selection of 40 sampling points. The rest of 19 sampling points were used to validate the multivariate linear regression model. The model decision coefficient was about 0.80, and the verification coefficient was about 0.83. The modeling accuracy could satisfy the requirements of droplet deposition characteristic parameter detection. This method could provide support for the detection of droplet deposition characteristics rapidly and continuously in aerial spraying.

【Keywords】 aviation; spraying; pesticides; spray pattern; spectrum analysis; fluorescence excitation; droplet deposition;

【DOI】

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(Translated by CHENG QZ)

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This Article

ISSN:1002-6819

CN: 11-2047/S

Vol 33, No. 24, Pages 80-87

December 2017

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Article Outline

Abstract

  • 0 Introduction
  • 1 Materials and methods
  • 2 Results and analysis
  • 3 Conclusion
  • References