Data integration in a greenhouse field lab
At a greenhouse field lab location, various digital data sources have been brought together. This includes sensors, climate computer data, weather data, manual plant measurements, and data from hardware such as robots. The project focuses on integrating these data sources into the Robocrops datahub.
Innovation package, use case, and type of trial
Greenhouse Horticulture
Digital twin
Status: completed
Technical functionality
Broad research question
Fragmented data storage and lack of standardization
At a greenhouse field lab location, various digital data sources have been consolidated. These include sensors, climate control system data, weather data, manual plant measurements, and data from hardware such as robots. The project focuses on integrating these diverse data streams into the Robocrops datahub.
Approach
Demonstration and validation of data sources
The Robocrops datahub was demonstrated in this project for various data sources. Additionally, a description was created detailing how these data sources were accessed, with attention given to data quality during sensor installation and maintenance. Besides sensor data, information from manual plant measurements, the climate computer, and robots was also integrated.
Goal
Proof of concept for data integration
The project delivered a proof of concept demonstrating that various data sources can be easily added and accessed through the Robocrops datahub. This aligns with the broader NXTGEN Hightech program, which is developing the Hortivation platform. The Robocrops datahub functions as an initial testing environment where stakeholders can immediately experience the benefits of centralized data.
Results and reflection
Successful implementation and lessons learned
The Robocrops datahub was successfully established and now contains data from various sources, including sensors, climate computers, manual plant measurements, weather data, and hardware such as robots. In total, more than 500 measurements with varying frequencies have been integrated.
Successes
The proof of concept demonstrates that data sources from different systems can be successfully linked.
The datahub provides a central storage location, giving stakeholders immediate access to valuable information.
Integration of multiple data sources contributes to better insight into greenhouse processes and supports further digitalization.
Lessons learned
The diversity in data formats calls for further standardization and compatibility testing.
Maintenance and data quality management during sensor installation and management require ongoing attention.