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Digital pesticide: a comprehensive pesticide information database with dynamic web platform for artificial
Ziling Zhu1, Xingxing Shi1, Zicong Zhu1
1National Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan, China.
Background:
Pesticides are crucial for protecting crops from pests and diseases to meet the growing global food demand. In the era of artificial intelligence (AI), computer-aided approaches have the potential to significantly enhance the efficiency and safety of pesticide design. The application of these methods depends on comprehensive and accurate pesticide data, essential for developing effective pesticides. However, there remains a lack of integrated and user-friendly databases to display complete information on pesticides.
Results:
Digital Pesticide is a comprehensive online platform, containing information on over 2000 pesticides, each with nearly 200 curated attributes. These include identifiers, chemical properties, agrochemical data, regulatory guidelines, environmental impact assessments, and potential human health effects. A web-based user interface has been developed to facilitate efficient data management and access. This open-access platform allows users to browse, search, and download information according to their specific needs. Digital Pesticide is free to use on https://dpai.ccnu.edu.cn/digpesticide/.
Conclusion:
Digital pesticide is a comprehensive pesticide database with a dynamic web platform and it is the cornerstone of the drive for sustainable agricultural development and management. It bridges a critical gap in pesticide research and is expected to serve as a key resource for global pesticide and pest management. © 2025 Society of Chemical Industry.
