High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
文献类型： 外文期刊
第一作者： Jin, Xiuliang
作者： Jin, Xiuliang;Zarco-Tejada, Pablo J.;Zarco-Tejada, Pablo J.;Zarco-Tejada, Pablo J.;Schmidhalter, Urs;Schmidhalter, Urs;Schmidhalter, Urs;Reynolds, Matthew P.;Hawkesford, Malcolm J.;Hawkesford, Malcolm J.;Hawkesford, Malcolm J.;Hawkesford, Malcolm J.;Hawkesford, Malcolm J.;Varshney, Rajeev K.;Varshney, Rajeev K.;Varshney, Rajeev K.;Yang, Tao;Nie, Chengwei;Nie, Chengwei;Li, Zhenhai;Ming, Bo;Xiao, Yonggui;Li, Shaokun
作者机构：
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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