Distribution law of rice pollen in the wind field of small UAV
Keywords:
UAV, pollen distribution, pollination, wind field distribution, rice breedingAbstract
The wind field produced by the rotor-wing UAV has a significant impact on the distribution of rice pollen, which directly influences hybrid rice breeding. This research aimed to explore the distribution law of rice pollen in the wind field of small UAV. Aviation Beidou Positioning System UB351 positions all sampling nodes for precise corresponding coordinates and spacing information, and draws UVA’s flying trajectories, thus providing accurate data for tests. Wireless sensor network measurement system was used to study the three-direction wind field produced by the rotor-wing UAV under various experimental factors and acquires wind field width and wind speed, and the data were compared with the area ratio and width of pollen distribution. Test of univariate normality was conducted through Shapiro-Wilk test and Kolmogorov-Smimov test. In order to figure out the appropriate flight speed for UAV’s pollination under pollen distribution law, it is also necessary to perform analysis of variances on regression model. The comparison of wind speed in longitudinal (X) and lateral (Y) direction show that as the major force of the horizontal wind field produced by the rotor-wing UAV, the wind from Y-direction forms the widest wind field. Moreover, flight speed mainly influences wind field width. To be specific, the width of horizontal wind field decreases as flight speed increases. Meanwhile, UAV flight speed also exerts significant impact on vertical wind field. Both the pollen distribution width of more than 5 pollen grains and the area ratio reached the maximum when the UAV flight was at 4.53 m/s, which was the most favorable speed to pollination. In addition, pollen quantity is closely associated with both horizontal and vertical wind field. With comparison of the pollen quantity of sampling nodes, it was found that the wind field produced by the rotor-wing UAV exerted asymmetrical impact on pollen distribution. Q-Q plot of SPSS verifies that pollen distribution is against normal distribution. The establishment of a multiple linear regression model of pollen distribution and wind speed in three directions indicates that pollen distribution quantity only shares positive linear relation with the wind field in X-direction. These findings provide a theoretical guidance for rice pollination by using agricultural UAVs. Keywords: UAV, pollen distribution, pollination, wind field distribution, rice breeding DOI: 10.25165/j.ijabe.20171004.3103 Citation: Li J Y, Lan Y B, Wang J W, Chen S D, Huang C, Liu Q, et al. Distribution law of rice pollen in the wind field of small UAV. Int J Agric & Biol Eng, 2017; 10(4): 32–40.References
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[3] Chang Z Y, Tu Y W. Studies on rice flowering and pollination habit. Jiangxi Journal of Agriculture, 1989; 1(2): 1–7. (in Chinese)
[4] Wang S H, Wang F Y, Wang L. Study on artificial pollination method for hybrid rice seed. Transactions of the CSAE, 2013; 10(232): 3–8. (in Chinese)
[5] Kempe K, Gils M. Pollination control technologies for hybrid breeding. Gils Mol Breeding, 2011; 27(4): 417–437.
[6] Li Z Q, Tang C Z, Li M, Luo H F. Pollen distribution of pneumatic and collision combined pollination for hybrid rice breeding. Journal of Hunan Agricultural University (Natural Sciences), 2015; 41(3): 325–331
[7] Wang H M. Experiment investigation of mechanism on pneumatic pollination of hybrid rice breeding. Hunan Changsha. Journal of Hunan Agricultural University, 2012. (in Chinese)
[8] Li J Y, Zhou Z Y, Hu L, Zang Y, Yan M L, Liu A M, et al. Optimization of operation parameters for supplementary pollination in hybrid rice breeding using uniaxial single-rotor electric unmanned helicopter. Transactions of the CSAE, 2014; 30(10): 10–17. (in Chinese)
[9] Li J Y, Zhou Z Y, Hu L, Zang Y, Xu S, Liu A M, et al. Optimization of operation parameters for supplementary pollination in hybrid rice breeding using round multi-axis multi-rotor electric unmanned helicopter. Transactions of the CSAE, 2014; 30(11): 1–9. (in Chinese)
[10] Li J Y, Zhou Z Y, Lan Y B, Hu L, Zang Y, Liu A M, et al. Distribution of canopy wind field produced by rotor unmanned aerial vehicle pollination operation. Transactions of the CSAE, 2015; 31(3): 77–86. (in Chinese)
[11] Hu L, Zhou Z Y, Luo X W, Wang P, Yan Y A, Li J Y. Development and experiment of a wireless wind speed sensor network measurement system for unmanned helicopter. Journal of Agricultural Machinery, 2014, 45(5): 221–226. (in Chinese)
[12] Wang H M, Tang C Z, Li M, Li Z Q, Huang Z, Wu M L, et al. Effect of airflow speed on pollen distribution for hybrid rice breeding pollination. Transactions of the CSAE, 2012, 28(6): 63–69. (in Chinese)
[13] Fang S L, Tang C Z, Luo H F. Effect of katabatic airflow velocity on the distribution of pollination of hybrid rice. Journal of Hunan Agricultural University (Natural Sciences), 2014; 40(4): 426–430. (in Chinese)
[14] Wu H. Research of effect on hybrid rice seed pollination with unmanned helicopter. Journal of Hunan Agricultural University, 2014. (in Chinese)
[15] Berni J A J, Zarco-Tejada P J, Sepulcre-Canto G, Fereres E, Villalobos F. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment, 2009; 113(11): 2380–2388.
[16] Wang P, Hu L, Zhou Z Y, Yang W S, Liu A M, Luo X W, et al. Wind field measurement for supplementary pollination in hybrid rice breeding using unmanned gasoline engine single-rotor helicopter. Transactions of the CSAE, 2013, 29(3): 54–61. (in Chinese)
[17] Ao Z L, Li G S. Design and realization of automatic wind-speed sensor calibration system for automatic weather stations. Meteorological Science and Technology, 2007; 35(3): 429–431. (in Chinese)
[18] Zheng X W, Chen W K, Lü Y C. Realization of automatic control for wind speed sensor automatic calibration system. Meteorological Science and Technology, 2009; 37(2): 253–256. (in Chinese)
[19] Hu D M. Studies on the measurement and use of pollen suspended velocity in hybrid rice seed production. Hybrid Rice, 1996; 1: 11–13. (in Chinese)
[20] Hu D M. Distribution of pollen density and seed setting efficacy under different pollinating methods. Hybrid Rice, 1996; (6): 21–23. (in Chinese)
[21] Hu N, Chen W L, Liu S D, Luo W H, Zhao L L, Gao B. A model for simulating rice pollen dispersal. Acta Ecologica Sinica. 2010; 30(14): 3665–3671.
[22] Zong X P, Yao Y L. Quick test of the statistical distribution of data through Q-Q plot and P-P plot. Statistics & Decision, 2010; 20: 151–152.
[23] Wang Z H, Zhou Q Z. Application and comparison of two methods for multivariate normality test. Journal of South-Central University for Nationalities (Nat. Sci. Edition). 2009; 28(3): 99–103.
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Published
2017-07-31
How to Cite
Jiyu, L., Lan, Y., Jianwei, W., Shengde, C., Cong, H., Qi, L., & Qiuping, L. (2017). Distribution law of rice pollen in the wind field of small UAV. International Journal of Agricultural and Biological Engineering, 10(4), 32–40. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3103
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Applied Science, Engineering and Technology
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