Healthy seedlings transplanting is an important process in the production of vegetables and economic crops,and the transplanting quality directly affects crop yield.Automatic seedlings transplanting can improve the tr...Healthy seedlings transplanting is an important process in the production of vegetables and economic crops,and the transplanting quality directly affects crop yield.Automatic seedlings transplanting can improve the transplanting efficiency of seedlings.We developed a physical prototype of potted seedling automatic transplanting with a conveyor and a transplanting end-effector in the previous study.This work proposed an automatic transplanting method of healthy potted seedlings,which mainly included a detection part of seedlings growth status and a visual servo control part with the purpose of automatic transplanting seedlings high-efficiently.The seedlings and the tray cell were simultaneously detected for identifying healthy seedlings,damaged seedlings and empty cells using a machine vision algorithm when the tray was moving on the conveyor line.The visual servo model was applied to enable the collaborative operation of the machine vision and the end-effector for determining the position and attitude of grasping seedlings.The experimental results showed that the accuracy rates of the identification of empty tray cells,healthy seedling and unhealthy seedling were 96.42%,98.77%and 89.95%,respectively.Under the successful identification of the healthy seedling,the accuracy rate of grasping seedling was 96.38%.It implied that our proposed method can effectively transplant seedlings.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.51875175)the National Science Foundation of Henan(Grant No.202300410124)+1 种基金Intelligent Manufacturing Comprehensive Standardization Project(Grant No.2018GXZ1101011)Yongchuan Natural Science Foundation Project(Grant No.Ycstc,2019nb0802).
文摘Healthy seedlings transplanting is an important process in the production of vegetables and economic crops,and the transplanting quality directly affects crop yield.Automatic seedlings transplanting can improve the transplanting efficiency of seedlings.We developed a physical prototype of potted seedling automatic transplanting with a conveyor and a transplanting end-effector in the previous study.This work proposed an automatic transplanting method of healthy potted seedlings,which mainly included a detection part of seedlings growth status and a visual servo control part with the purpose of automatic transplanting seedlings high-efficiently.The seedlings and the tray cell were simultaneously detected for identifying healthy seedlings,damaged seedlings and empty cells using a machine vision algorithm when the tray was moving on the conveyor line.The visual servo model was applied to enable the collaborative operation of the machine vision and the end-effector for determining the position and attitude of grasping seedlings.The experimental results showed that the accuracy rates of the identification of empty tray cells,healthy seedling and unhealthy seedling were 96.42%,98.77%and 89.95%,respectively.Under the successful identification of the healthy seedling,the accuracy rate of grasping seedling was 96.38%.It implied that our proposed method can effectively transplant seedlings.
