TIGP (BIO)—A flexible NoSQL database for agriculture field trial using a cloud server
- 2024-04-18 (Thu.), 14:00 PM
- Auditorium, B1F, Institute of Statistical Science. In-person seminar, no online stream available.
- Delivered in English|Speaker bio: Please see the attachment
- Prof. Steven Hung-Hsi Wu
- Department of Agronomy, National Taiwan University
Abstract
In the field of agricultural research, efficient database management and data analysis drive agricultural research and product development. Field trials are one of the essential stages in agricultural product development, enabling the validation of products in real-world environments rather than controlled laboratory or greenhouse settings. With the advancement in technologies, field trials often collect a large amount of information with diverse data types from various sources. Managing and organizing extensive datasets can impose challenges, especially with constantly evolving data collection processes with various collaborators and introducing new data types between pilot studies and larger-scale trials. A practical database needs to be able to incorporate all these changes seamlessly. A flexible database framework for collecting and analyzing field trial data is introduced. The backend database is powered by a NoSQL database hosted in the cloud. With the flexibility of the NoSQL database, the data collecting scheme can be modified based on the data provided by various collaborators and contract research organizations.