首页 /研究 /Selective Harvesting Robotics: Current Research, Trends, and Future Directions
OTHER

Selective Harvesting Robotics: Current Research, Trends, and Future Directions

Gert Kootstra, Xin Wang, Pieter M. Blok, J. Hemming, E.J. van Henten

发表年份
2021
引用次数
215
访问权限
开放获取

摘要

Abstract Purpose of Review The world-wide demand for agricultural products is rapidly growing. However, despite the growing population, labor shortage becomes a limiting factor for agricultural production. Further automation of agriculture is an important solution to tackle these challenges. Recent Findings Selective harvesting of high-value crops, such as apples, tomatoes, and broccoli, is currently mainly performed by humans, rendering it one of the most labor-intensive and expensive agricultural tasks. This explains the large interest in the development of selective harvesting robots. Selective harvesting, however, is a challenging task for a robot, due to the high levels of variation and incomplete information, as well as safety. Summary This review paper provides an overview of the state of the art in selective harvesting robotics in three different production systems; greenhouse, orchard, and open field. The limitations of current systems are discussed, and future research directions are proposed.

关键词

RoboticsAgricultureAutomationAgricultural productivityRobotComputer scienceEconomic shortageRisk analysis (engineering)Artificial intelligenceAgricultural engineering

相关论文

查看 OTHER 分类全部论文