Multimodal Deep Learning-Based Drought Monitoring Research for Winter Wheat During Critical Growth Stages

DOI

The minimum data set involved in the drought monitoring study of key growth stages of winter wheat based on multimodal deep learning, including wheat drought stress images, soil and meteorological data.

Identifier
DOI https://doi.org/10.17026/PT/TNMWHP
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/TNMWHP
Provenance
Creator Wu, Yushu
Publisher DANS Data Station Physical and Technical Sciences
Contributor Wu, Yushu
Publication Year 2024
Rights CC-BY-NC-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Wu, Yushu
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Version 2.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences