Agricultural robots have been widely used in fields, orchards, facilities, and other agricultural planting. With the development of social economy, there is an increasing demand for fruit among people. However, fruit picking in orchards faces challenges such as labor intensity and shortage. The development of fruit tree picking robots has opened up a new situation for the replacement of manual picking by machines, which overcomes the seasonality and labor problems of manual picking. However, there is a lack of research on the key technologies. Therefore, combined with the literature in recent years, this paper firstly analyzes the research status and key technologies of fruit tree picking robots from the executive system and the perception and decision-making system. The executive system part analyzes the key technologies of fruit tree picking robots in mobile walking and fruit separation from the mobile platform and picking mechanism, and the perception and decision-making system part analyzes the key technologies of fruit tree picking robots in target recognition and system control from the visual system and the analysis and control system. Secondly, the problems of fruit tree picking robots in picking efficiency, picking speed, influencing factors, and generality are analyzed. Finally, the future prospects are made for the existing problems.
No takes yet. Share an insight, caveat, or question.
Libo Zhu (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: