Development of a Quick-Install Rapid Phenotyping System

In recent years, there has been a growing need for accessible High-Throughput Plant Phenotyping (HTPP) platforms that can take measurements of plant traits in open fields. This paper presents a phenotyping system designed to address this issue by combining ultrasonic and multispectral sensing of the...

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Bibliographic Details
Main Authors: Adamchuk, V.I (Author), Buelvas, R.M (Author), Hoyos-Villegas, V. (Author), Lan, J. (Author), Stromvik, M.V (Author), Whitmore, A. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:View Fulltext in Publisher
View in Scopus
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008 230529s2023 CNT 000 0 und d
020 |a 14248220 (ISSN) 
245 1 0 |a Development of a Quick-Install Rapid Phenotyping System 
260 0 |b MDPI  |c 2023 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/s23094253 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159300206&doi=10.3390%2fs23094253&partnerID=40&md5=728a6ad2b523af5324ff474f1e39dc4e 
520 3 |a In recent years, there has been a growing need for accessible High-Throughput Plant Phenotyping (HTPP) platforms that can take measurements of plant traits in open fields. This paper presents a phenotyping system designed to address this issue by combining ultrasonic and multispectral sensing of the crop canopy with other diverse measurements under varying environmental conditions. The system demonstrates a throughput increase by a factor of 50 when compared to a manual setup, allowing for efficient mapping of crop status across a field with crops grown in rows of any spacing. Tests presented in this paper illustrate the type of experimentation that can be performed with the platform, emphasizing the output from each sensor. The system integration, versatility, and ergonomics are the most significant contributions. The presented system can be used for studying plant responses to different treatments and/or stresses under diverse farming practices in virtually any field environment. It was shown that crop height and several vegetation indices, most of them common indicators of plant physiological status, can be easily paired with corresponding environmental conditions to facilitate data analysis at the fine spatial scale. © 2023 by the authors. 
650 0 4 |a agricultural worker 
650 0 4 |a agriculture 
650 0 4 |a Agriculture 
650 0 4 |a crop 
650 0 4 |a Crops 
650 0 4 |a Crops, Agricultural 
650 0 4 |a Environmental conditions 
650 0 4 |a Ergonomics 
650 0 4 |a Farms 
650 0 4 |a genetics 
650 0 4 |a High-throughput 
650 0 4 |a Measurements of 
650 0 4 |a methodology 
650 0 4 |a multispectral sensors 
650 0 4 |a Multispectral sensors 
650 0 4 |a phenotype 
650 0 4 |a Phenotype 
650 0 4 |a Phenotyping 
650 0 4 |a plant phenotyping 
650 0 4 |a Plant phenotyping 
650 0 4 |a Plant traits 
650 0 4 |a Research Design 
650 0 4 |a sensing system 
650 0 4 |a Sensing systems 
650 0 4 |a Ultrasonic sensing 
650 0 4 |a ultrasonic sensors 
650 0 4 |a Vegetation 
650 0 4 |a vegetation index 
650 0 4 |a Vegetation index 
700 1 0 |a Adamchuk, V.I.  |e author 
700 1 0 |a Buelvas, R.M.  |e author 
700 1 0 |a Hoyos-Villegas, V.  |e author 
700 1 0 |a Lan, J.  |e author 
700 1 0 |a Stromvik, M.V.  |e author 
700 1 0 |a Whitmore, A.  |e author 
773 |t Sensors