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Issue:ISSN 2095-1353
           CN 11-6020/Q
Director:Chinese Academy of Sciences
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Your Position :Home->Past Journals Catalog->2023年60 No.3

Construction and application of a digital field investigation platform for invasive alien insects
Author of the article:CHEN Hong, XIAN Xiao-Qing, XIE Qian, ZHANG Gui-Fen, LIU Wan-Xue, ZHAO Jian
Author's Workplace:Institute of Digital Agriculture Research, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China
Key Words:invasive alien insects; investigation platform; investigation planning; specimen management; spatio-temporal visualization; Tuta absoluta
Abstract:
[Objectives]  To promote the integration and standardization of the collection of field data on invasive insects, improve the quality and efficiency of data collection, and provide scientific support for research on the prevention and control of these pests. [Methods]  The digital field investigation platform for invasive alien insects is comprised of a field investigation APP and data management system and was developed using a geographic information system, mobile development, spatiotemporal data visualization, and other technical methods. The result is an integrated, digital, solution for investigating invasive insects in the field. [Results]  The platform has multiple functions, including investigation planning, task collaboration, data collection, specimen labeling, and the spatiotemporal visualization of data to realize the digital management of the whole process of field investigation. The platform was used to investigate the occurrence and distribution of Tuta absoluta nationwide from 2017 to 2020. This investigation contained a total of 706 records on the occurrence and distribution of T. absoluta in 11 provinces. [Conclusion]  The development of a digital field investigation platform has effectively solvethe problem of the digital management of data on invasive alien insects, thereby improving the efficiency of field investigation and data analysis. The platform also enhances the integration of various types of data, thereby expanding the scope of data analysis, making it a valuable tool for investigating invasive insects in the field.

 

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