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Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems

Plant phenotyping and production management are emerging fields to facilitate Genetics, Environment, & Management (GEM) research and provide production guidance. Precision indoor farming systems (PIFS), vertical farms with artificial light (aka plant factories) in particular, have long been suit...

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Autores principales: Ren, Guoqiang, Wu, Hangyu, Bao, Anbo, Lin, Tao, Ting, Kuan-Chong, Ying, Yibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167025/
https://www.ncbi.nlm.nih.gov/pubmed/37180389
http://dx.doi.org/10.3389/fpls.2023.1162435
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author Ren, Guoqiang
Wu, Hangyu
Bao, Anbo
Lin, Tao
Ting, Kuan-Chong
Ying, Yibin
author_facet Ren, Guoqiang
Wu, Hangyu
Bao, Anbo
Lin, Tao
Ting, Kuan-Chong
Ying, Yibin
author_sort Ren, Guoqiang
collection PubMed
description Plant phenotyping and production management are emerging fields to facilitate Genetics, Environment, & Management (GEM) research and provide production guidance. Precision indoor farming systems (PIFS), vertical farms with artificial light (aka plant factories) in particular, have long been suitable production scenes due to the advantages of efficient land utilization and year-round cultivation. In this study, a mobile robotics platform (MRP) within a commercial plant factory has been developed to dynamically understand plant growth and provide data support for growth model construction and production management by periodical monitoring of individual strawberry plants and fruit. Yield monitoring, where yield = the total number of ripe strawberry fruit detected, is a critical task to provide information on plant phenotyping. The MRP consists of an autonomous mobile robot (AMR) and a multilayer perception robot (MPR), i.e., MRP = the MPR installed on top of the AMR. The AMR is capable of traveling along the aisles between plant growing rows. The MPR consists of a data acquisition module that can be raised to the height of any plant growing tier of each row by a lifting module. Adding AprilTag observations (captured by a monocular camera) into the inertial navigation system to form an ATI navigation system has enhanced the MRP navigation within the repetitive and narrow physical structure of a plant factory to capture and correlate the growth and position information of each individual strawberry plant. The MRP performed robustly at various traveling speeds with a positioning accuracy of 13.0 mm. The temporal–spatial yield monitoring within a whole plant factory can be achieved to guide farmers to harvest strawberries on schedule through the MRP’s periodical inspection. The yield monitoring performance was found to have an error rate of 6.26% when the plants were inspected at a constant MRP traveling speed of 0.2 m/s. The MRP’s functions are expected to be transferable and expandable to other crop production monitoring and cultural tasks.
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spelling pubmed-101670252023-05-10 Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems Ren, Guoqiang Wu, Hangyu Bao, Anbo Lin, Tao Ting, Kuan-Chong Ying, Yibin Front Plant Sci Plant Science Plant phenotyping and production management are emerging fields to facilitate Genetics, Environment, & Management (GEM) research and provide production guidance. Precision indoor farming systems (PIFS), vertical farms with artificial light (aka plant factories) in particular, have long been suitable production scenes due to the advantages of efficient land utilization and year-round cultivation. In this study, a mobile robotics platform (MRP) within a commercial plant factory has been developed to dynamically understand plant growth and provide data support for growth model construction and production management by periodical monitoring of individual strawberry plants and fruit. Yield monitoring, where yield = the total number of ripe strawberry fruit detected, is a critical task to provide information on plant phenotyping. The MRP consists of an autonomous mobile robot (AMR) and a multilayer perception robot (MPR), i.e., MRP = the MPR installed on top of the AMR. The AMR is capable of traveling along the aisles between plant growing rows. The MPR consists of a data acquisition module that can be raised to the height of any plant growing tier of each row by a lifting module. Adding AprilTag observations (captured by a monocular camera) into the inertial navigation system to form an ATI navigation system has enhanced the MRP navigation within the repetitive and narrow physical structure of a plant factory to capture and correlate the growth and position information of each individual strawberry plant. The MRP performed robustly at various traveling speeds with a positioning accuracy of 13.0 mm. The temporal–spatial yield monitoring within a whole plant factory can be achieved to guide farmers to harvest strawberries on schedule through the MRP’s periodical inspection. The yield monitoring performance was found to have an error rate of 6.26% when the plants were inspected at a constant MRP traveling speed of 0.2 m/s. The MRP’s functions are expected to be transferable and expandable to other crop production monitoring and cultural tasks. Frontiers Media S.A. 2023-04-25 /pmc/articles/PMC10167025/ /pubmed/37180389 http://dx.doi.org/10.3389/fpls.2023.1162435 Text en Copyright © 2023 Ren, Wu, Bao, Lin, Ting and Ying https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ren, Guoqiang
Wu, Hangyu
Bao, Anbo
Lin, Tao
Ting, Kuan-Chong
Ying, Yibin
Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title_full Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title_fullStr Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title_full_unstemmed Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title_short Mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
title_sort mobile robotics platform for strawberry temporal–spatial yield monitoring within precision indoor farming systems
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167025/
https://www.ncbi.nlm.nih.gov/pubmed/37180389
http://dx.doi.org/10.3389/fpls.2023.1162435
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