Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges

High-throughput phenotype monitoring systems for field crops can not only accelerate the breeding process but also provide important data support for precision agricultural monitoring. Traditional phenotype monitoring methods for field crops relying on artificial sampling and measurement have some d...

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Main Authors: Huali Yuan, Minghan Song, Yiming Liu, Qi Xie, Weixing Cao, Yan Zhu, Jun Ni
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/13/11/2832
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author Huali Yuan
Minghan Song
Yiming Liu
Qi Xie
Weixing Cao
Yan Zhu
Jun Ni
author_facet Huali Yuan
Minghan Song
Yiming Liu
Qi Xie
Weixing Cao
Yan Zhu
Jun Ni
author_sort Huali Yuan
collection DOAJ
description High-throughput phenotype monitoring systems for field crops can not only accelerate the breeding process but also provide important data support for precision agricultural monitoring. Traditional phenotype monitoring methods for field crops relying on artificial sampling and measurement have some disadvantages including low efficiency, strong subjectivity, and single characteristics. To solve these problems, the rapid monitoring, acquisition, and analysis of phenotyping information of field crops have become the focus of current research. The research explores the systematic framing of phenotype monitoring systems for field crops. Focusing on four aspects, namely phenotyping sensors, mobile platforms, control systems, and phenotyping data preprocessing algorithms, the application of the sensor technology, structural design technology of mobile carriers, intelligent control technology, and data processing algorithms to phenotype monitoring systems was assessed. The research status of multi-scale phenotype monitoring products was summarized, and the merits and demerits of various phenotype monitoring systems for field crops in application were discussed. In the meantime, development trends related to phenotype monitoring systems for field crops in aspects including sensor integration, platform optimization, standard unification, and algorithm improvement were proposed.
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spelling doaj.art-76b824497dfc4b1fb28781f3f96c019c2023-11-24T14:24:12ZengMDPI AGAgronomy2073-43952023-11-011311283210.3390/agronomy13112832Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research ChallengesHuali Yuan0Minghan Song1Yiming Liu2Qi Xie3Weixing Cao4Yan Zhu5Jun Ni6College of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Agriculture, Nanjing Agricultural University, Nanjing 210095, ChinaHigh-throughput phenotype monitoring systems for field crops can not only accelerate the breeding process but also provide important data support for precision agricultural monitoring. Traditional phenotype monitoring methods for field crops relying on artificial sampling and measurement have some disadvantages including low efficiency, strong subjectivity, and single characteristics. To solve these problems, the rapid monitoring, acquisition, and analysis of phenotyping information of field crops have become the focus of current research. The research explores the systematic framing of phenotype monitoring systems for field crops. Focusing on four aspects, namely phenotyping sensors, mobile platforms, control systems, and phenotyping data preprocessing algorithms, the application of the sensor technology, structural design technology of mobile carriers, intelligent control technology, and data processing algorithms to phenotype monitoring systems was assessed. The research status of multi-scale phenotype monitoring products was summarized, and the merits and demerits of various phenotype monitoring systems for field crops in application were discussed. In the meantime, development trends related to phenotype monitoring systems for field crops in aspects including sensor integration, platform optimization, standard unification, and algorithm improvement were proposed.https://www.mdpi.com/2073-4395/13/11/2832data processing algorithmsfield cropsphenotype monitoringphenotyping sensorsphenotyping platforms
spellingShingle Huali Yuan
Minghan Song
Yiming Liu
Qi Xie
Weixing Cao
Yan Zhu
Jun Ni
Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
Agronomy
data processing algorithms
field crops
phenotype monitoring
phenotyping sensors
phenotyping platforms
title Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
title_full Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
title_fullStr Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
title_full_unstemmed Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
title_short Field Phenotyping Monitoring Systems for High-Throughput: A Survey of Enabling Technologies, Equipment, and Research Challenges
title_sort field phenotyping monitoring systems for high throughput a survey of enabling technologies equipment and research challenges
topic data processing algorithms
field crops
phenotype monitoring
phenotyping sensors
phenotyping platforms
url https://www.mdpi.com/2073-4395/13/11/2832
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