Abstract:

Aims: To quickly and accurately obtain field survey data on invasive species diffusion, we integrated the global navigation satellite system, geographic information system, and mobile internet to design a customizable mobile terminal for the collection of survey data for invasive species. This is important because traditional methods are cumbersome, slow, and error-prone. Additionally, previously designed computational survey methods are designed to address specific survey tasks. Here, we developed a customizable software program, the Yuncaiji data acquisitor, to address these issues.
Method: This system was designed using the C# and Java languages. It uses navigation satellite positioning technology to help acquire precise location data more rapidly. This method tries to combine navigation satellite positioning with the Android mobile terminal to help acquire precise location data.
Results: This method defines 9 kinds of data and 4 auxiliary attributes, such as default value of column value (indicator), image shooting, voice input, column sorting, establishing the association between data types and user interface, and realized customizable data entry interface.
Conclusion: The Yuncaiji data acquisitor has been successfully tested in several large-scale projects, including key national (Chinese) research and development projects, major science and technology projects for the Fujian Province, and for Solenopsis invicta epidemic census. Results show that the Yuncaiji data acquisitor efficiently supports field survey data collection, data synchronization, data exporting, and data management. This system is superior to traditional survey methods involving pen and paper, because the data recoding is easily performed on a smartphone, simplifying data entry and reducing user error. The quality of the invasive species diffusion field data recorded by the Yuncaiji data acquisitor is high, indicating that our system provides suitable computational support for large-scale surveys of the diffusion of invasive species.

Key words: invasive species, mobile terminal, data collection, Yuncaiji data acquisitor, big data