Research on the collection system of foxtail millet phenotypic traits based on Android system

Hui Song; Hecang Zang; Jing Niu; Qiaoli Zhao; Qingmei Liu; Ailian Zhao; Guoqiang Li; Guoqing Zheng; Hongqi Chen

doi:10.1117/12.2673496

3 April 2023 Research on the collection system of foxtail millet phenotypic traits based on Android system

Hui Song, Hecang Zang, Jing Niu, Qiaoli Zhao, Qingmei Liu, Ailian Zhao, Guoqiang Li, Guoqing Zheng, Hongqi Chen

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125990X (2023) https://doi.org/10.1117/12.2673496
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

Aiming at the problems of time-consuming, labor-intensive and large errors in the investigation and collection of agronomic traits of foxtail millet in the field, this paper designed and developed a foxtail millet phenotype investigation and collection system that is easy to operate on mobile phones and tablet computers. The system is developed based on C/S structure, takes Android Studio as the development plat form, adopts JSON data format, and realizes the communication between webpage and server through Android technology. The system architecture is divided into user layer, data layer and application layer. The user layer is the module grouping, inputting and uploading of phenotypic traits to the client APP and prepares for login and collection; the data layer provides reception, error correction and modification functions for data collection, and the application layer realizes the processing of foxtail millet phenotype data after collection. decision-making, etc. The field test results show that the mobile APP effectively solves the problems of low data entry efficiency and secondary data entry, and improves the efficiency of foxtail millet phenotypic trait data collection by 64.7% compared with manually entered data. The system is flexible in functional design, quick in data entry, and simple in operation. It is suitable for experiments that require field agronomic traits collection at all levels in the foxtail millet breeding process. At the same time, this system can be used as a collection template for other crop phenotype data.

Citation Download Citation

Hui Song, Hecang Zang, Jing Niu, Qiaoli Zhao, Qingmei Liu, Ailian Zhao, Guoqiang Li, Guoqing Zheng, and Hongqi Chen "Research on the collection system of foxtail millet phenotypic traits based on Android system", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125990X (3 April 2023); https://doi.org/10.1117/12.2673496

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KEYWORDS

Agriculture

Lithium

Design and modelling

Diseases and disorders

Ear

Data acquisition

Data analysis

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