Intelligent Harvesting Technologies for Ball Vegetables: A Bibliometric Review of Robotic Perception, End-Effector Design, and System Integration
Ball vegetables (such as cabbage, Chinese cabbage, broccoli, etc.) hold an important position in the vegetable industry due to their unique morphology and diverse applications and are widely favored by both consumers and the market. However, the harvesting of Ball vegetables poses significant challenges to agricultural production and market supply. Traditional manual harvesting struggles to meet the rapid demands of large-scale cultivation, primarily due to its high labor intensity and time-consuming nature, compounded by the increasingly prominent issues of aging and shortage of agricultural labor in recent years. As an alternative, intelligent harvesting robot technology, through integration with optimized cropping practices, innovations in preservation techniques, and improvements in processing workflows, offers an effective solution for expanding market planting areas and enhancing production efficiency. However, such harvesting robots still require further optimization and improvement in terms of adaptability, operational efficiency, and damage control. To systematically review the research progress and current status of this field, this study employs a bibliometric analysis approach to evaluate the current performance characteristics of various types of heading vegetable harvesting robots, aiming to provide a reference for future technological developments. This review analyzes solutions suitable for low-damage, high-quality harvesting of Ball vegetables in modern agriculture from five dimensions: identification and localization, row-following mechanisms, cutting mechanisms, pulling and conveying mechanisms, and leaf-removal mechanisms. It also summarizes the main challenges currently facing harvesting equipment, including the complexity of harvest targets, diversification of crop varieties and cultivation patterns, and harvest-induced damage to Ball vegetables. Finally, this review provides a future outlook on heading vegetable harvesting from four perspectives: research on the characteristics of Ball vegetables, investigation into harvest-induced damage mechanisms, improvement in machinery adaptability, and enhancement in equipment versatility and intelligence.
Authors
- Yuxi Gao (ORCID: https://orcid.org/0000-0001-9168-5663)
- Yuyuan Qiao (ORCID: https://orcid.org/0000-0002-4845-8622)
- Xin Lu (ORCID: https://orcid.org/0009-0004-8662-3467)
- Yapeng Wu (ORCID: https://orcid.org/0009-0008-1808-8959)
- Yuting Dong
- Zhong Tang (ORCID: https://orcid.org/0000-0002-2724-115X)
Institutions
- Jiangsu University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2026-05-22
- DOI
- https://doi.org/10.3390/app16115183
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00