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Withdrawal: Digital Pesticide: A Comprehensive Pesticide Information Database with Dynamic Web Platform for

    Pest Management Science
    |July 4, 2026
    PubMed
    Summary

    This study introduced a comprehensive pesticide information database with a dynamic web platform for artificial intelligence applications. However, the article was later withdrawn due to unauthorized data usage.

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    Area of Science:

    • Agricultural Science
    • Computational Chemistry
    • Data Science

    Background:

    • Pesticide management requires accurate and accessible information.
    • Existing databases may lack comprehensive data or dynamic features.
    • Artificial intelligence (AI) offers potential for advanced pesticide analysis.

    Purpose of the Study:

    • To develop a comprehensive pesticide information database.
    • To create a dynamic web platform for AI applications.
    • To facilitate advanced pesticide research and management.

    Main Methods:

    • Development of a novel database for pesticide information.
    • Implementation of a dynamic web platform.
    • Integration of AI-compatible features.

    Related Experiment Videos

    Main Results:

    • The database aimed to provide extensive pesticide data.
    • The web platform was designed for dynamic user interaction.
    • The system was intended to support AI-driven pesticide analysis.

    Conclusions:

    • The 'Digital Pesticide' database and platform offered a novel approach to pesticide information management.
    • The withdrawal highlights the importance of data authorization in scientific publishing.
    • Disputes over data usage led to the article's retraction.