High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Xiuliang Jin; Pablo J. Zarco-Tejada; Urs Schmidhalter; Matthew P. Reynolds; Malcolm J. Hawkesford; Rajeev K. Varshney; Tao Yang; Chengwei Nie; Zhenhai Li; Bo Ming; Yonggui Xiao; Yongdun Xie; Shaokun Li

doi:10.1109/MGRS.2020.2998816

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Xiuliang Jin, Pablo J. Zarco-Tejada, Urs Schmidhalter, Matthew P. Reynolds, Malcolm J. Hawkesford, Rajeev K. Varshney, Tao Yang, Chengwei Nie, Zhenhai Li, Bo Ming, Yonggui Xiao, Yongdun Xie, Shaokun Li

Institute of Agriculture

Research output: Contribution to journal › Review article › peer-review

217 Citations (Scopus)

Abstract

Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, high-throughput crop phenotyping methods and data analytical capacities need to be improved.

Original language	English
Article number	9130745
Pages (from-to)	200-231
Number of pages	32
Journal	IEEE Geoscience and Remote Sensing Magazine
Volume	9
Issue number	1
DOIs	https://doi.org/10.1109/MGRS.2020.2998816
Publication status	Published - Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MGRS.2020.2998816

Cite this

Jin, X., Zarco-Tejada, P. J., Schmidhalter, U., Reynolds, M. P., Hawkesford, M. J., Varshney, R. K., Yang, T., Nie, C., Li, Z., Ming, B., Xiao, Y., Xie, Y., & Li, S. (2021). High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms. IEEE Geoscience and Remote Sensing Magazine, 9(1), 200-231. Article 9130745. https://doi.org/10.1109/MGRS.2020.2998816

@article{79fe5f85674b42989a3272def7295eac,

title = "High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms",

abstract = "Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, high-throughput crop phenotyping methods and data analytical capacities need to be improved.",

keywords = "Agriculture, Hyperspectral sensors, Biosensors, Thermal sensors, Image sensors, Fluorescence, LEAF CHLOROPHYLL CONTENT, LIGHT-USE EFFICIENCY, PHOTOSYNTHETICALLY ACTIVE RADIATION, NITROGEN NUTRITION INDEX, DIFFERENT GROWTH-STAGES, REMOTE-SENSING DATA, SPECTRAL REFLECTANCE MEASUREMENTS, CANOPY TEMPERATURE DEPRESSION, SOLAR-INDUCED CHLOROPHYLL, GENOME-WIDE ASSOCIATION",

author = "Xiuliang Jin and Zarco-Tejada, {Pablo J.} and Urs Schmidhalter and Reynolds, {Matthew P.} and Hawkesford, {Malcolm J.} and Varshney, {Rajeev K.} and Tao Yang and Chengwei Nie and Zhenhai Li and Bo Ming and Yonggui Xiao and Yongdun Xie and Shaokun Li",

year = "2021",

month = mar,

doi = "10.1109/MGRS.2020.2998816",

language = "English",

volume = "9",

pages = "200--231",

journal = "IEEE Geoscience and Remote Sensing Magazine",

issn = "2473-2397",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

number = "1",

}

Jin, X, Zarco-Tejada, PJ, Schmidhalter, U, Reynolds, MP, Hawkesford, MJ, Varshney, RK, Yang, T, Nie, C, Li, Z, Ming, B, Xiao, Y, Xie, Y & Li, S 2021, 'High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms', IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 1, 9130745, pp. 200-231. https://doi.org/10.1109/MGRS.2020.2998816

TY - JOUR

T1 - High-Throughput Estimation of Crop Traits

T2 - A Review of Ground and Aerial Phenotyping Platforms

AU - Jin, Xiuliang

AU - Zarco-Tejada, Pablo J.

AU - Schmidhalter, Urs

AU - Reynolds, Matthew P.

AU - Hawkesford, Malcolm J.

AU - Varshney, Rajeev K.

AU - Yang, Tao

AU - Nie, Chengwei

AU - Li, Zhenhai

AU - Ming, Bo

AU - Xiao, Yonggui

AU - Xie, Yongdun

AU - Li, Shaokun

PY - 2021/3

Y1 - 2021/3

N2 - Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, high-throughput crop phenotyping methods and data analytical capacities need to be improved.

AB - Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach to food security; in this regard, the crop breeding community must better link the relationships between the phenotype and the genotype. While high-throughput genotyping is feasible at a low cost, high-throughput crop phenotyping methods and data analytical capacities need to be improved.

KW - Agriculture

KW - Hyperspectral sensors

KW - Biosensors

KW - Thermal sensors

KW - Image sensors

KW - Fluorescence

KW - LEAF CHLOROPHYLL CONTENT

KW - LIGHT-USE EFFICIENCY

KW - PHOTOSYNTHETICALLY ACTIVE RADIATION

KW - NITROGEN NUTRITION INDEX

KW - DIFFERENT GROWTH-STAGES

KW - REMOTE-SENSING DATA

KW - SPECTRAL REFLECTANCE MEASUREMENTS

KW - CANOPY TEMPERATURE DEPRESSION

KW - SOLAR-INDUCED CHLOROPHYLL

KW - GENOME-WIDE ASSOCIATION

U2 - 10.1109/MGRS.2020.2998816

DO - 10.1109/MGRS.2020.2998816

M3 - Review article

SN - 2473-2397

VL - 9

SP - 200

EP - 231

JO - IEEE Geoscience and Remote Sensing Magazine

JF - IEEE Geoscience and Remote Sensing Magazine

IS - 1

M1 - 9130745

ER -

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this