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Open Accesshttps://doi.org/10.1016/j.jag.2023.103494
Copy DOI Publication Date: Nov 1, 2023 | |
 License type: cc-by-nc-nd |
Affiliation: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, University of Chinese Academy of Sciences, University of Göttingen, Leibniz Centre for Agricultural Landscape ResearchCombination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features
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