Journal
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
Volume 9, Issue 1, Pages 200-231Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MGRS.2020.2998816
Keywords
Agriculture; Hyperspectral sensors; Biosensors; Thermal sensors; Image sensors; Fluorescence
Funding
- National Key Research and Development Program of China [2016YFD0300605]
- National Natural Science Foundation of China [41601369]
- Young Talents Program of the Institute of Crop Science under the Chinese Academy of Agricultural Sciences [S2019YC04]
- Biotechnology and Biological Sciences Research Council of the United Kingdom [BB/P016855/1]
- United Kingdom Department for Environment, Food, and Rural Affairs [CH1090]
- BBSRC [BBS/E/C/000I0220] Funding Source: UKRI
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To meet the challenges of global population growth and climate change, crop yields need to be improved sustainably. Genomics-assisted breeding is becoming popular for ensuring food security, highlighting the importance of linking phenotype and genotype relationships. While high-throughput genotyping is cost-effective, there is a need to enhance high-throughput crop phenotyping methods and data analytical capacities.
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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