High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

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.

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  • Name: Jin, Xiuliang, Type: Corresponding Author,
  • Name: Zarco-Tejada, Pablo J., Type: Author,
  • Name: Schmidhalter, Urs, Type: Author,
  • Name: Reynolds, Matthew P., Type: Author,
  • Name: Hawkesford, Malcolm J., Type: Author,
  • Name: Varshney, Rajeev K., Type: Author,
  • Name: Yang, Tao, Type: Author,
  • Name: Nie, Chengwei, Type: Author,
  • Name: Li, Zhenhai, Type: Author,
  • Name: Ming, Bo, Type: Author,
  • Name: Xiao, Yonggui, Type: Author,
  • Name: Xie, Yongdun, Type: Author,
  • Name: Li, Shaokun, Type: Author,
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Citation Report https://scite.ai/reports/10.1109/mgrs.2020.2998816
DFW Organisation RRes
DFW Work Package 1
DOI 10.1109/mgrs.2020.2998816
Date Last Updated 2020-11-28T19:19:12.001697
Evidence oa repository (via OAI-PMH doi match)
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Journal Is Open Access false
Open Access Status green
PDF URL http://oar.icrisat.org/11602/1/paper115.pdf
Publisher URL https://ieeexplore.ieee.org/document/9130745