Using QR Codes for Scientific Data Collection and Analysis in Crop Field Trials
Original: https://cli.im/article/detail/1839
I am Bai Yulong, an Assistant Researcher at the Gansu Academy of Agricultural Sciences, and I'd like to share with you the application of CaoLiao QR Codes in field trials.
Having worked on wheat breeding with my supervisor for many years, we always had to carry large notebooks to record data during field trials, which was extremely tiring. This led me to search for electronic recording tools. Last year, I tried all the QR code tools available on the market to find one suitable for trial records. After testing CaoLiao QR Codes, I found it to be the most suitable for our research.
At the base where I work, which spans over 100 acres, we currently use approximately 100,000 QR codes. Every year, we add about 5,000 new QR codes and retire another 5,000, resulting in one or two new varieties annually. Using the traditional pen-and-paper method for data collection was not only labor-intensive but also prone to data loss. With QR codes, data is formatted and standardized from the very first step of generation, significantly improving organization efficiency. Additionally, it has helped cultivate our habit of using data tools.
Video Introduction
Using common wheat trials as an example, I will explain in detail how to create QR codes with record forms based on field trial design, print them as adhesive labels, and use them for on-site trial data collection.
Main Contents
- Requirement analysis for trial record QR codes
- Steps for implementing QR code applications
- Live demonstration
- Introduction to data analysis methods

1. Requirement Analysis
2. Live Demonstration
3. Data Analysis
Related Resources
1. Download Related Course Materials
Application of QR Codes in Crop Field Trials.pdf
Wheat Fertilizer Reduction Trial Plan.doc
2. Demo Experience
Click [Consultation] in the lower right corner of the page to contact our customer service for Demo account login details. Log in to the Demo account, scan the pre-made trial record QR codes, and experience the backend features.
Industry Consultant Introduction
Bai Yulong
- Assistant Researcher at the Gansu Academy of Agricultural Sciences, responsible for the institution's informatization development
- Engaged in exchange and learning within the agricultural informatization expert team led by Academician Zhao Chunjiang
- Senior user of CaoLiao QR Codes, Agricultural Research Industry Consultant