Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter
Seedling transplanting is an important part of vegetable mechanized production in modern agriculture. After the seedlings are cultivated on a large scale by the nursery tray, they are planted into the field by the transplanter. However, unlike manual transplanting, transplanter is unable to judge th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/12/12/2064 |
| _version_ | 1827642311114227712 |
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| author | Mingyong Li Liqiang Xiao Xiqiang Ma Fang Yang Xin Jin Jiangtao Ji |
| author_facet | Mingyong Li Liqiang Xiao Xiqiang Ma Fang Yang Xin Jin Jiangtao Ji |
| author_sort | Mingyong Li |
| collection | DOAJ |
| description | Seedling transplanting is an important part of vegetable mechanized production in modern agriculture. After the seedlings are cultivated on a large scale by the nursery tray, they are planted into the field by the transplanter. However, unlike manual transplanting, transplanter is unable to judge the status of seedlings in the hole during seedling planting, which leads to problems such as damaged seedlings and empty holes being picked in the same order and planted into the field, resulting in yield reduction and missed planting. Aiming at this problem, we designed a seedling selective planting control system for vegetable transplanter which includes vision unit, seedling picking mechanism, seedling feeding mechanism, planting mechanism, pneumatic push rod unit, limit sensor, industrial computer and logic controller. We used asymmetrical light to construct visual identification scenes for planting conditions, which suppresses environmental disturbances. Based on the intersection operation of mask and image, a fast framework of tray hole location and seedling identification (FHLSI) was proposed combined with FCM segmentation algorithm. The vision unit provides the transplanting system with information on the status of the holes to be transplanted. Based on the information, planting system chooses the healthy seedlings for transplanting, improving the survival rate and quality of transplanting. The results show that the proposed visual method has an average accuracy of 92.35% for identification with the selective planting control system of seedlings and improves the transplanting quality by 15.4%. |
| first_indexed | 2024-03-09T17:26:40Z |
| format | Article |
| id | doaj.art-18d236c58be04cfe9af9b9cdb913eec2 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T17:26:40Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-18d236c58be04cfe9af9b9cdb913eec22023-11-24T12:40:44ZengMDPI AGAgriculture2077-04722022-12-011212206410.3390/agriculture12122064Vision-Based a Seedling Selective Planting Control System for Vegetable TransplanterMingyong Li0Liqiang Xiao1Xiqiang Ma2Fang Yang3Xin Jin4Jiangtao Ji5College of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, ChinaScience & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471000, ChinaScience & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471000, ChinaScience & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471000, ChinaScience & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471000, ChinaScience & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471000, ChinaSeedling transplanting is an important part of vegetable mechanized production in modern agriculture. After the seedlings are cultivated on a large scale by the nursery tray, they are planted into the field by the transplanter. However, unlike manual transplanting, transplanter is unable to judge the status of seedlings in the hole during seedling planting, which leads to problems such as damaged seedlings and empty holes being picked in the same order and planted into the field, resulting in yield reduction and missed planting. Aiming at this problem, we designed a seedling selective planting control system for vegetable transplanter which includes vision unit, seedling picking mechanism, seedling feeding mechanism, planting mechanism, pneumatic push rod unit, limit sensor, industrial computer and logic controller. We used asymmetrical light to construct visual identification scenes for planting conditions, which suppresses environmental disturbances. Based on the intersection operation of mask and image, a fast framework of tray hole location and seedling identification (FHLSI) was proposed combined with FCM segmentation algorithm. The vision unit provides the transplanting system with information on the status of the holes to be transplanted. Based on the information, planting system chooses the healthy seedlings for transplanting, improving the survival rate and quality of transplanting. The results show that the proposed visual method has an average accuracy of 92.35% for identification with the selective planting control system of seedlings and improves the transplanting quality by 15.4%.https://www.mdpi.com/2077-0472/12/12/2064transplantermodern agricultureselective plantingseedling identificationvision |
| spellingShingle | Mingyong Li Liqiang Xiao Xiqiang Ma Fang Yang Xin Jin Jiangtao Ji Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter Agriculture transplanter modern agriculture selective planting seedling identification vision |
| title | Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter |
| title_full | Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter |
| title_fullStr | Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter |
| title_full_unstemmed | Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter |
| title_short | Vision-Based a Seedling Selective Planting Control System for Vegetable Transplanter |
| title_sort | vision based a seedling selective planting control system for vegetable transplanter |
| topic | transplanter modern agriculture selective planting seedling identification vision |
| url | https://www.mdpi.com/2077-0472/12/12/2064 |
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