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RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index

PaperCitations, authors & open-access status

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 57 citations, 2024 year and closed oa status.

57
Citations
2024
Year
closed
OA Status

Related on ScholarIQ

Jie Deng
Author
Computers and Electronics in Agriculture
Journal
Wheat and Barley Genetics and Pathology
Topic
Wheat and Barley Genetics and Pathology
Topic
Genetic Mapping and Diversity in Plants and Animals
Topic
Smart Agriculture and AI
Topic
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