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Predicting rice diseases using advanced technologies at different scales: present status and future perspectives

Crossref DOI link: https://doi.org/10.1007/s42994-023-00126-4

Published Print: 2023-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Li, Ruyue

Chen, Sishi

Matsumoto, Haruna

Gouda, Mostafa

Gafforov, Yusufjon

Wang, Mengcen

Liu, Yufei
Funding

Funding for this research was provided by:

Key R&D Plan of Zhejiang Province (2021C02057)

Key Research and Development Program of Zhejiang Province (2020C02002)

National Key R&D Program of China (2021YFE0113700)

International S&T Cooperation Program of China (2019YFE0103800)

Fundamental Research Funds for the Zhejiang Provincial Universities (2021XZZX024)

Zhejiang University Global Partnership Fund
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Text and Data Mining valid from 2023-12-01

Text and Data Mining valid from 2023-12-01

Version of Record valid from 2025-08-28
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This article is maintained by: Elsevier

Article Title: Predicting rice diseases using advanced technologies at different scales: present status and future perspectives

Journal Title: aBIOTECH

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s42994-023-00126-4

Content Type: article

Copyright: Copyright © 2023 © 2023 THE AUTHORS. Published by Elsevier B.V. on behalf of Agricultural Information Institute of CAAS. Published by Elsevier B.V.