Crossmark

Minimizing active canopy sensor differences in nitrogen status diagnosis and in-season nitrogen recommendation for maize with multi-source data fusion and machine learning

Crossref DOI link: https://doi.org/10.1007/s11119-023-10052-6

Published Online: 2023-07-23

Published Print: 2023-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Xinbing

Miao, Yuxin https://orcid.org/0000-0001-8419-6511
Dong, Rui

Kusnierek, Krzysztof
Funding

Funding for this research was provided by:

Norwegian Ministry of Foreign Affairs (SINOGRAIN II, CHN-17/0019)

Minnesota Department of Agriculture (R2023-9)

National Institute of Food and Agriculture (State project 1016571)
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Text and Data Mining valid from 2023-07-23

Version of Record valid from 2023-07-23
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Article History

Accepted: 4 July 2023

First Online: 23 July 2023

Declarations

:

: The authors declare no conflict of interest.

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