2018
DOI: 10.3390/robotics7040061
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Multirobot System for Plant Phenotyping

Abstract: Phenotypic studies require large datasets for accurate inference and prediction. Collecting plant data in a farm can be very labor intensive and costly. This paper presents the design, architecture (hardware and software) and deployment of a multi-robot system for row crop field data collection. The proposed system has been deployed in a soybean research farm at Iowa State University.Robotics 2018, 7, 61 2 of 15 Several agricultural robots have been developed in the recent past. Unlike industrial robots, the c… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
27
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

7
3

Authors

Journals

citations
Cited by 32 publications
(27 citation statements)
references
References 17 publications
0
27
0
Order By: Relevance
“…Leveraging genomicsenabled approaches to study iron deficiency chlorosis is essential for future soybean improvement programsunder multiple objectives [80]. Genome wide studies will benefit from digital and automated phenotyping [81,82,83]. Also, markers reported in this study might help in future soybean genomic studies.…”
Section: Discussionmentioning
confidence: 96%
“…Leveraging genomicsenabled approaches to study iron deficiency chlorosis is essential for future soybean improvement programsunder multiple objectives [80]. Genome wide studies will benefit from digital and automated phenotyping [81,82,83]. Also, markers reported in this study might help in future soybean genomic studies.…”
Section: Discussionmentioning
confidence: 96%
“…Root trait research requires infusion of analytics, such as leveraging advanced sensors coupled with computer vision and ML-based feature extraction methods [72][73][74][75][76][77]. Finally, robotics-assisted phenotyping is transforming above ground trait studies [78], and there is a need for robotics-based phenotyping solution for end-to-end phenotyping platforms and root excavation without information loss. Unlike above ground traits, root systems still 18 Plant Phenomics do not have well-described growth stages and are often described by corresponding length or depth which lacks the inclusion of development stages [79,80].…”
Section: Plant Phenomicsmentioning
confidence: 99%
“…High-throughput phenomics has been proposed as a solution to lessen the throughput capacity, mechanical, and resource limitations that exist in plant breeding programs associated with phenotyping [7]. Studies have shown high correlation between phenomic traits collected using digital sensors and manually collected measurements [8,9] suggesting phenomic data can be acquired on a wide spatiotemporal scale by leveraging the technological advancements made in sensor technology with ground and aerial-based phenotyping platforms [10]. Empowered with phenomic data that was previously difficult or impossible to collect across an expansive spatiotemporal scale, scientists have begun disentangling the genetic architecture of traits through genomic studies [8,11,12], prediction of target trait performance using genomic [13][14][15][16], and phenomic prediction strategies [9,15,[17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%