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

Research output: Contribution to journalReview articlepeer-review

183 Scopus citations

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 languageEnglish
Article number9130745
Pages (from-to)200-231
Number of pages32
JournalIEEE Geoscience and Remote Sensing Magazine
Volume9
Issue number1
DOIs
StatePublished - Mar 2021

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