Advances in visual perception for agricultural robotics

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Visual perception is key to most agricultural robots in order to make sense of their surroundings, necessary to make decisions and apply actions. This chapter will start with an overview of image sensors, systems, and typical vision tasks in agricultural robotics. Despite great progress in the past decade due to the introduction of deep neural networks, robots face two big challenges in perceiving the agricultural environment: the challenges of variation and incomplete information. Both challenges and available solutions are discussed in this chapter. However, the challenges are not yet solved. The chapter therefore ends with an outline of future research to approach the challenges and to allow successful use of robots in agriculture.
Original languageEnglish
Title of host publicationAdvances in agri-food robotics
EditorsE. van Henten, Y. Edan
PublisherBurleigh Dodds Science Publishing
Pages3-36
ISBN (Print)9781801462778
DOIs
Publication statusPublished - 26 Mar 2024

Publication series

NameBurleigh Dodds series in Agricultural Science
ISSN (Print)2059-6936

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