Study on measurement method for apple root morphological parameters based on Labview

Area of Science:

• Plant Science
• Agricultural Engineering
• Image Analysis

Background:

• Traditional apple seedling root measurement methods are labor-intensive, subjective, and limited by scanner size and cost.
• Existing root scanners face challenges with coverage and occlusion, leading to inaccurate fruit root analysis.
• A novel approach is needed to address these limitations in root morphology assessment.

Purpose of the Study:

• To develop and validate a new, accurate, and cost-effective system for measuring apple seedling root morphology.
• To overcome the limitations of manual measurements and conventional root scanners.
• To provide a reliable tool for analyzing root surface area, average diameter, length, and volume.

Main Methods:

• Image preprocessing using Vision Development Module and Labview, with background plate selection based on root color.
• Development of a root characteristic parameters algorithm for quantitative root analysis.
• Design of a measurement system for apple seedling root morphology and comparison with WinRHIZO 2016.

Main Results:

• The developed system accurately measured root surface area (relative error <0.5%), average diameter (<0.1%), length (<0.1%), and volume (<0.2%).
• Statistical analysis (SPSS v22.0) showed no significant difference (P>0.01) compared to WinRHIZO 2016.
• The system demonstrated high precision and reliability in root morphology assessment.

Conclusions:

• The proposed method accurately measures key apple seedling root parameters, proving effective and user-friendly.
• This innovative approach significantly reduces measurement costs by 80-90% compared to conventional scanners.
• The study offers a practical and economical solution for detailed root system analysis in apple seedlings.