Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
Abstract Background Wheat is an important food crop globally, and timely prediction of wheat yield in breeding efforts can improve selection efficiency. Traditional yield prediction method based on secondary traits is time-consuming, costly, and destructive. It is urgent to develop innovative method...
Main Authors: | Shuaipeng Fei, Lei Li, Zhiguo Han, Zhen Chen, Yonggui Xiao |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-11-01
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Series: | Plant Methods |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13007-022-00949-0 |
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