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

Jin, Xiuliang ; Zarco-Tejada, Pablo J. ; Schmidhalter, Urs ; Reynolds, Matthew P. ; Hawkesford, Malcolm J. ; Varshney, Rajeev K. ; Yang, Tao ; Nie, Chengwei ; Li, Zhenhai ; Ming, Bo ; Xiao, Yonggui ; Xie, Yongdun ; Li, Shaokun (2021) High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms IEEE Geoscience and Remote Sensing Magazine, 9 (1). pp. 200-231. ISSN 2473-2397

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Official URL: http://doi.org/10.1109/MGRS.2020.2998816

Related URL: http://dx.doi.org/10.1109/MGRS.2020.2998816

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.

Item Type:Article
Source:Copyright of this article belongs to Institute of Electrical and Electronic Engineers.
ID Code:124651
Deposited On:29 Nov 2021 09:04
Last Modified:29 Nov 2021 09:04

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