Intelligent algorithm to predict the spray deposition of UAV

Zhihong Huang, Bo Zhang, Yubin Lan, Lili Wu

Abstract


Abstract: Scientific use of pesticides can not only improve the effective utilization rate, but also reduce environmental pollution.  As an important index to evaluate the effective utilization of pesticides, it is very important to measure the deposition of pesticides on crop surface quickly and accurately.  Compared with the traditional manual sampling or sensor detection methods, the linear relationship model between the operating parameters such as flight speed, total flow rate of nozzle, spray volume per mu, spray amplitude and pesticide deposition by collecting spray parameters of UAV for plant protection was proposed, and the spray deposition of different parts of the wheat was predicted.  Comparing with the collected samples data, the predicted results of the model shows that the intelligent algorithm is feasible and effective.  It can provide an important basis for reducing pesticide application and further achieving precision spraying.

Keywords: intelligent algorithm, plant protection UAV, spraying, deposition, real-time prediction

DOI: 10.33440/j.ijpaa.20190202.37.

 

Citation: Huang Z H, Zhang B, Lan Y B, Wu L L.  Intelligent algorithm to predict the spray deposition of UAV.  Int J Precis Agric Aviat, 2019; 2(2): 49–53.

Full Text:

PDF

References


Wang J, Hao J M, Chen A Q, et al. Supply and demand balance of ecological carrying capacity in provincial arable land of China. Journal of China Agricultural University, 2019; 24(07): 146–155. doi: 10.11841/ j.issn.1007-4333.2019.07.18.

Ge D Z, Long H L, Yang R. The pattern and mechanism of farmland transition in China from the perspective of per capita farmland area. Resources Science, 2018; 40(02): 273–283. doi: 10.18402/resci.2018.02.05.

Li Y J. Analysis on the double reduction of chemical fertilizer and pesticide. South China Agriculture, 2019; 13(05): 174–175. doi: 10.19415/j.cnki.1673-890x.2019.05.091.

Dong M L. Study on pesticide pollution and environmental protection measures. Shanxi Agricultural Economy, 2018; (21): 117. doi: 10.16675/j.cnki.cn14-1065/f.2018.21.085.

Sun W F, Wang L J, Chen B C, et al. The present situation and development of study on the pesticide applying technology at home and abroad. Journal of Agricultural Mechanization Research, 2009; 31(09): 225–228. doi: 10.3969/j.issn.1003-188X.2009.09.067.

Shen Y. Residue characteristics and degradation mechanisms of common pesticides in wheat. Ph.D. dissertation, 2007; Yangzhou University. doi: 10.7666/d.y1103243.

Liu G. Ministry of Agriculture issues action plan for zero growth of pesticide use by 2020. Pesticide Market News, 2015; (08): 10–12. doi: 10.13378/j.cnki.pmn.2015.08.003.

Su X J, Wang Y L, Wei J, et al. Pesticide deposition percentage and control effect of nine kinds of crop protection machineries against wheat aphid. Acta Agriculturae Boreali-occidentalis Sinica, 2018; 27(01): 149–154. doi: 10.7606/j.issn.1004-1389.2018.01.020.

Guan X B, Kong X, Qi P, et al. Effects of spraying mechanical spraying on pesticide deposition rate and control efficiency of wheat aphid. Agriculture of Henan, 2018; (18): 43–44, 46. doi: 10.15904/ j.cnki.hnny.2018.18.022.

Yuan H Z, Yang D B, Yan X J, et al. Pesticide efficiency and the way to optimize the spray application. Plant Protection, 2011; 37(05): 14–20. doi: 10.3969/j.issn.0529-1542.2011.05.002.

Xu D J, Xu G C, Xu X L, et al. Influence of spray nozzle and spray volume on pesticide deposition and control effect in rice. Journal of Plant Protection, 2019; 46(02): 409–416. doi: 10.13802/ j.cnki.zwbhxb.2019.2018006.

Wang M. Determination and evaluation model of pesticide deposition rate for utilization by folia spray in rice field. Master dissertation, 2019; Chinese Academy of Agricultural Sciences.

Hu H Y, Ren X L, Jiang W L, et al. Pesticide spray distribution of plant protection UVA in cotton field. Journal of Huazhong Agricultural University, 2018; 37(05): 59–64. doi: 10.3969/ j.issn.1000-1190.2018.05.009.

Liu Y. Synergism mechanism of organic silicon and xanthan gum on fungicide. Master dissertation, 2010; Anhui Agricultural University. doi: 10.7666/d.y1735212.

Wang S, Peng E R, Wu G X, et al. Surveys of deposition and distribution pattern of pesticide droplets on crop leaves. Journal of Yunnan Agricultural University, 2010; 25(01): 113–117. doi: 10.3969/ j.issn.1004-390X.2010.01.020.

Belden J B , Hanson B R , Mcmurry S T , et al. Assessment of the effects of farming and conservation programs on pesticide deposition in high plains wetlands. Environmental Science & Technology, 2012, 46(6): 3424–3432. doi: 10.1021/es300316q.

Zhang H Y, Lan Y B, Wen S, et al. Operational effects of unmanned helicopters for pesticide spraying in rice field. Journal of South China Agricultural University, 2019; 40(01): 116–124. doi: 10.7671/ j.issn.1001-411X.201802028.

Zhang R R, Chen L P, Lan Y B, et al. Development of a deposit sensing system for aerial spraying application. Transactions of the Chinese Society for Agricultural Machinery, 2014; 45(08): 123–127. doi: 10.6041/ j.issn.1000-1298.2014.08.020.

Wang F. Study on electrochemical sensing system for detection of pesticide spray deposition. Master dissertation, 2017; Jiangsu University.

Fan L J. Energy consumption forecasting and energy saving analysis of urban buildings based on multiple linear regression model. Natural Science Journal of Xiangtan University, 2016; 38(01): 123–126. doi: 10.3969/j.issn.1000-5900.2016.01.026.

Peng H, Zhao Y J, Hu Z H. Railway passenger volume forecast based on multiple linear regression model. Journal of Chongqing University of Technology (Natural Science), 2018; 32(09): 190–193. doi: 10.3969/ j.issn.1674-8425(z).2018.09.030.


Refbacks

  • There are currently no refbacks.