Optimal Design and Experiment of Variable Topdressing Control System for Corn Based on Spectral Information

被引:0
|
作者
Zhao X. [1 ,2 ]
Wang X. [1 ,2 ]
He Y. [1 ,2 ]
Dou H. [1 ,2 ]
Zhai C. [1 ,2 ]
机构
[1] Beijing Research Center of Intelligent Equipment for Agriculture, Beijing
[2] National Research Center of Intelligent Equipment for Agriculture, Beijing
关键词
Corn; Fertilizer control; Spectral information; Variable topdressing;
D O I
10.6041/j.issn.1000-1298.2020.11.004
中图分类号
学科分类号
摘要
The technology of variable topdressing based on canopy spectral reflectance information is an effective way to realize the scientific and reasonable application of nitrogen fertilizer. In order to improve the precision of spectrum information and topdressing control system, the arrangement of spectrum sensor and the optimization of system control method were carried out. Finally, the field experiment of topdressing was carried out. The comparison test of upright mode and distributed arrangement mode showed that the distributed arrangement of spectrum sensor was better than that of upright mode. The average value of NDVI was increased by 6.4%, and the variance was reduced by 0.038. NDVI acquisition data was filtered by sliding window mean filtering algorithm. The sliding window size was 15 and the mean square error was 0.007 9. The system response test showed that the average response time of the system was 1.5 s, the absolute value of the average steady-state error was 0.775 r/min, and the average overshoot was 10.6%. The system had a high control accuracy in the range of working speed of fertilizer wheel. The results of field fertilization control showed that the average relative error between theoretical rotation speed and monitoring rotation speed was 3.35%, which could achieve the goal of precision fertilization. © 2020, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:37 / 44
页数:7
相关论文
共 22 条
  • [1] ZHAO Shuo, ZONG Ze, LIU Gang, Design and test on position fertilization control system based on motor drive, Transactions of the Chinese Society for Agricultural Machinery, 50, pp. 91-95, (2019)
  • [2] HABOUDANEA D, MILLERA J R, PATTEY E, Et al., Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture, Remote Sensing of Environment, 90, 3, pp. 337-352, (2004)
  • [3] ZHAO D H, LI J L, QI J G., Identification of red and NIR spectral regions and vegetative indices for discrimination of cotton nitrogen stress and growth stage, Computers and Electronics in Agriculture, 48, 2, pp. 155-169, (2005)
  • [4] YAN Huimin, CAO Mingkui, LIU Jiyuan, Et al., Characterizing spatial patterns of multiple cropping system in China frommulti-temporal remote sensing images, Transactions of the CSAE, 21, 4, pp. 85-90, (2005)
  • [5] YIN Shoujing, WU Chuanqing, WANG Chen, Et al., Remote sensing assessment of ecological health of the riparian buffer along Huaihe River, China Environmental Science, 36, 1, pp. 299-306, (2016)
  • [6] QIAO Xin, MA Xu, ZHANG Xiaochao, Et al., Response of coronary spectrum on chlorophyll and K information of soy, Transactions of the Chinese Society for Agricultural Machinery, 39, 4, pp. 108-111, (2008)
  • [7] WANG Fumin, HUANG Jingfeng, WANG Xiuzhen, Modification of vegetation indices based on rice background characteristics, Transactions of the CSAE, 24, 5, pp. 152-155, (2008)
  • [8] XUE Lihong, YIN Shengming, YANG Miao, Et al., Preparation of V-doped Ti O_2 photocatalysts by the solution combustion method and their visibl light photocatalysis activities, Journal of Wuhan University of Technology (Materials Science Edition), 29, 5, pp. 863-868, (2014)
  • [9] KITCHEN N R, SUDDUTH K A, DRUMMOND S T, Et al., Ground-based canopy reflectance sensing for variable-rate nitrogen corn fertilization, Agronomy Journal, 102, 1, pp. 71-78, (2010)
  • [10] LIANG Chunying, YI Shujuan, WANG Xi, Et al., PID control strategy of the variable rate fertilization control system, Transactions of the Chinese Society for Agricultural Machinery, 41, 7, pp. 157-162, (2010)