CaoLiao QR Code

Appearance

Utilizing QR Codes for Scientific Data Collection and Analysis in Crop Field Trials ​

Original article: https://cli.im/article/detail/1839

I am Bai Yulong, an assistant researcher at Gansu Academy of Agricultural Sciences, sharing our application of CaoLiao QR Codes in field trials.

Having worked with my mentor on wheat breeding for years, we traditionally recorded field trial data using paper notebooks - an exhausting method that prompted our search for digital solutions. Last year, after testing various QR code tools, we found CaoLiao QR Code most suitable for research.

At our 100-acre experimental base, we currently utilize approximately 100,000 QR codes, with annual additions and replacements of 5,000 codes each. Traditional paper-based recording risked data loss and required tedious processing. QR code data collection enables formatted and standardized recording from the initial data generation stage, significantly improving processing efficiency while cultivating data tool proficiency.

Video Introduction ​

Using wheat commonality trials as an example, I'll demonstrate how to create QR codes with record forms based on field trial designs, print them as adhesive labels, and implement for on-site data collection.

Key Contents

  • Requirement analysis for experimental record QR codes
  • Implementation steps for QR code applications
  • Live demonstration
  • Data analysis methodology introduction
CaoLiao QR Code Presentation Slide_07.png

1. Requirement Analysis ​

2. Live Demonstration ​

3. Data Analysis ​

Resources ​

1. Course Material Downloads ​

Application of QR Codes in Crop Field Trials.pdf

Wheat Fertilizer Reduction Trial Plan.doc

2. Demo Experience ​

Contact customer service via the [Consultation] button at bottom-right to obtain Demo account access. Log in to experience pre-configured experimental QR codes and backend functions.

Industry Consultant Profile ​

Bai Yulong

  • Assistant Researcher at Gansu Academy of Agricultural Sciences, leading institutional digital transformation
  • Trained with agricultural informatization expert team under Academician Zhao Chunjiang
  • Senior CaoLiao QR Code user and agricultural research consultant