"Building a Data Pipeline for Korean K Research Lab's Database
Building a Data Pipeline for Farm Sensor Data
Challenge
- 1. Physical Constraints: While farms using H Company's products are spreading nationwide, there are challenges in direct visits and management due to physical distances and technical limitations.
2. Technical Challenges: Various technical issues such as internet disruptions, sensor firmware updates, and API conflicts are causing frequent disruptions in data collection and transmission.
3. Data Collection Challenges: Due to the difficulty in seamless data collection, there are issues with the accuracy and real-time nature of the data needed for efficient smart farm operations.
Solution
- • Efficient Data Pipeline Establishment:
We've constructed an optimized data pipeline, taking into account H Company's devices and the characteristics of farms. This allows for the efficient real-time collection, storage, processing, and analysis of farm data.
• Robust Data Management System: We've developed a system that can reliably collect, refine, and transmit data. Even in the event of internet or power interruptions, the system resumes operation from the point of interruption, eliminates duplicate data transmission through suitability verification, greatly enhancing the accuracy and reliability of the data. 
Benefit
- • Enhancing Crop Management Efficiency:
We anticipate a significant improvement in farm crop management efficiency through the newly established data pipeline.
• Securing High-Quality Data:
By collecting real-time and accurate data from farm PCs, A Company's smart farming service has secured high-quality
data.
• Leveraging Platform Development:
The reliably collected data can be leveraged for the development and expansion of platforms accessible to farmers and
consultants.
Copyright © 2023 Seedbox LC. All rights reserved.
Copyright © 2023 Seedbox LC. All rights reserved.