Z. Tang - School of Agriculture, Jiangsu University, Zhenjiang, ۲۱۲۰۱۳, Jiangsu, China.
H. Wang - School of Agriculture, Jiangsu University, Zhenjiang, ۲۱۲۰۱۳, Jiangsu, China.
S. Liu - School of Agriculture, Jiangsu University, Zhenjiang, ۲۱۲۰۱۳, Jiangsu, China.
D. Lu - Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu Province, ۲۱۰۰۱۴, China.
Y. Tang - Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu Province, ۲۱۰۰۱۴, China.

In order to improve the intelligent mechanized harvesting ability of small green vegetables, a self-propelled small green vegetables intelligent combine harvester was designed according to its planting mode and agronomic requirements. It can simultaneously meet the requirements of mechanized harvesting operations for cutting, clamping and conveying, and collecting of small green vegetables. Additionally, this model adopts the electric drive chassis of the pure electric drive intelligent battery management system based on BMS technology, which realizes the intelligent balance matching of power. The harvester adopts the intelligent control system controlled by PLC to automatically detect the walking speed of the machine, the height of the cutter and the transmission speed, etc., so as to realize the rapid matching of each working part. It was found that the proportion of electricity consumption of the harvester in two hours was ۲۳%, with an average harvesting efficiency of ۰.۱۶ hm²/h. Besides, the average loss rate was ۴.۲۲% during the normal operation of the harvester. This study provides a reference basis for the intelligent mechanized harvesting of small green vegetables.

Electric walking chassis, Human-machine interface, Intelligent control system, Vegetable harvesting, Self-propelled harvester.