@Article{phyton.2020.08479,
AUTHOR = {Jiqiang Zhang, Ziru Niu, Tianhua Li, Yanqiang Wu, Rui Xi, Yuhua Li, Guanghua Li, Jialin Hou},
TITLE = {Design and Optimization of Planting Process Parameters for 2ZYX-2 Type Green Onion Ditching and Transplanting Machine},
JOURNAL = {Phyton-International Journal of Experimental Botany},
VOLUME = {89},
YEAR = {2020},
NUMBER = {1},
PAGES = {147--166},
URL = {http://www.techscience.com/phyton/v89n1/38408},
ISSN = {1851-5657},
ABSTRACT = {Considering the current low level of mechanization for domestic green 
onion planting and the high labor intensity of artificial planting, a 2ZYX-2 green 
onion ditching and transplanting machine, which can complete ditching, ridging, 
transplanting, repression, soil covering and other operations, is designed in this 
study. The Central Composite test design method was carried out with the speed 
of the transplanting machine, the depth of the opener and the horizontal position 
of the opener as the experimental factors and with the qualification ratio of
perpendicularity, the variation coefficient of the plant spacing and the
qualification ratio of the planting depth as the test index. Through the analysis of 
the model interaction and response surface, the change laws that the influence 
the machine’s forward speed, the depth of the opener and the horizontal position 
of the opener were studied. The regression model was optimized by 
Design-Expert 8.0.6 software, and the accuracy of the predicted results was 
verified by experiments. The optimal working parameters showed that the 
forward speed of the machine was 0.06 m/s, the depth of the opener was 102 mm,
and the horizontal position of the opener was 29 mm. Under conditions of 
optimal working parameters, the qualification rate of the verticality was 86.83%, 
the coefficient of variation for the plant spacing was 2.77, and the pass rate of 
planting depth was 88.26%. The research related to the thesis can provide a
reference for the mechanized planting of green onion, which is of great 
significance to the cost-effectiveness of the green onion industry.},
DOI = {10.32604/phyton.2020.08479}
}