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Field robots for plant phenotyping

Code: 9781801465281
Rick van de Zedde, Wageningen University and Research, The Netherlands

Chapter synopsis: The technology developed within the domain of plant phenotyping provides excellent data-driven tools for plant breeders to use in the collection and description of the relationship between genotyping and environmental factors. Field robots are emerging as sensor-mounted phenotyping platforms, which offer the advantages of flexible operation, advanced automation and high duration. They are capable of acquiring phenotypic information in a non-destructive, high-throughput and efficient manner. The acquisition of high-throughput information is particularly challenging with traditional manual methods of measurement. Multiple types of automated operating platforms are being developed within this field, including unmanned aerial vehicles (UAV), field robots, unmanned ground vehicles (UGV), devices linked through the Internet of Things (IoT) and satellites. Various plant-phenotyping platforms are in use across the industry and academia. We provide an overview of current research on different morphologies of plant-phenotyping robots and state-of-art sensors and technologies for automatic plant phenotyping. We summarize the advantages of and problems associated with this research field and present prospects for future development. Platforms are developed in many variations, with some being capable of carrying high loads and allowing simultaneous measurements with multiple sensors. Some robots are characterized by a flexible chassis, and others focus on long operating times. Moreover, the efficiency and accuracy of advanced field robots using artificial intelligence (AI) technologies are continually improving. This will eventually provide a solid foundation for the further development of the domain of plant phenotyping, which is increasingly focussing on open-field applications.

DOI: 10.19103/AS.2022.0102.08
Table of contents 1 Introduction 2 Specific challenges associated with field robots 3 Currently available field robots for phenotyping 4 Sensors and technologies for phenotyping field robots 5 Robotic arms for fruit phenotyping and harvesting 6 Conclusion and future trends 7 Where to look for further information 8 References

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