机器人学
农业
自动化
农业生产力
机器人
计算机科学
经济短缺
风险分析(工程)
人工智能
农业工程
工程类
业务
地理
机械工程
语言学
哲学
考古
政府(语言学)
作者
Gert Kootstra,Xin Wang,Pieter M. Blok,J. Hemming,E.J. van Henten
标识
DOI:10.1007/s43154-020-00034-1
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.
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