High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
文献类型： 外文期刊
作者： Jin, Xiuliang 1 ; Zarco-Tejada, Pablo J. 2 ; Schmidhalter, Urs 5 ; Reynolds, Matthew P. 8 ; Hawkesford, Malcolm 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Crop Phenotyp Innovat Res Grp, Beijing, Peoples R China
2.Univ Melbourne, Sch Agr, Melbourne, Vic, Australia
3.Univ Melbourne, Melbourne Sch Engn, Melbourne, Vic, Australia
4.Spanish Natl Res Council, Madrid, Spain
5.Swiss Fed Inst Technol, Zurich, Switzerland
6.Tech Univ Munich, Plant Nutr, Munich, Germany
7.Swiss Fed Res Stn Agron, Soil Phys & Soil Chem, Zurich, Switzerland
8.Int Maize & Wheat Improvement Ctr, Wheat Physiol, Mexico City, DF, Mexico
9.Rothamsted Res, Harpenden, Herts, England
10.Brookhaven Natl Lab, Upton, NY 11973 USA
11.Univ Edinburgh, Edinburgh, Midlothian, Scotland
12.Long Ashton Res Stn, Plant Nutr, Bristol, Avon, England
13.Univ Nottingham, Sch Biosci, Nottingham, England
14.Int Crops Res Inst Semi Arid Trop, Ctr Excellence Genom & Syst Biol, Hyderabad, India
15.Univ Western Australia, Nedlands, WA 6009, Australia
16.Univ Queensland, Brisbane, Qld, Australia
17.Chinese Acad Agr Sci, Ctr Crop Germplasm Resources, Inst Crop Sci, Beijing, Peoples R China
18.Chinese Acad Agr Sci, Inst Crop Sci, Crop Phenotypes, Beijing, Peoples R China
19.Natl Engn Res Ctr Informat Technol Agr, Remote Sensing, Beijing, Peoples R China
20.Newcastle Univ, Sch Engn, Newcastle Upon Tyne, Tyne & Wear, England
21.Chinese Acad Agr Sci, Inst Crop Sci, Crop Cultivat & Physiol Innovat Team, Beijing, Peoples R China
22.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China
23.Chinese Acad Agr Sci, Inst Crop Sci, Crop Cultivat & Physiol Ctr Crop Management & Far, Beijing, Peoples R China
关键词： Agriculture; Hyperspectral sensors; Biosensors; Thermal sensors; Image sensors; Fluorescence
期刊名称：IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE （ 影响因子：13.0； 五年影响因子：9.907 ）
ISSN： 2473-2397
年卷期： 2021 年 9 卷 1 期
页码：
收录情况： SCI
摘要： 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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