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

Gert Kootstra*, Xin Wang, Pieter M. Blok, Jochen Hemming, Eldert Van Henten

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
JournalCurrent Robotics Reports
DOIs
Publication statusE-pub ahead of print - 29 Jan 2021

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