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CropPhenoX: high-throughput automatic extraction system for wheat seedling phenotypic traits based on software and
Jinxing Wang1, Baohua Yang1, Pengfei Wang1
1School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, China.
Frontiers in Plant Science
|August 25, 2025
Summary
A new system, CropPhenoX, automates wheat seedling phenotyping for high-throughput genetic breeding. This integrated solution enhances precision in smart agriculture by combining advanced hardware and the Wheat-RYNet model for accurate trait extraction.
Area of Science:
- Agricultural Science
- Computer Vision
- Biotechnology
Background:
- Accurate quantification of wheat seedling phenotypic traits is essential for genetic improvement and smart agriculture.
- Current methods for phenotypic trait extraction lack the high-throughput and high-precision capabilities required for complex agricultural environments.
Purpose of the Study:
- To develop an automated, high-throughput system (CropPhenoX) for extracting wheat seedling phenotypic traits.
- To enhance the efficiency and accuracy of phenotyping for applications in crop breeding and management.
Main Methods:
- Developed a hardware architecture using Siemens PLC modules for intelligent crop transportation and synchronized control of lighting, cameras, and switches.
- Implemented the Wheat-RYNet model, integrating YOLOv5, MobileOne, and ECA, with an adaptive rotation frame for precise seedling detection.
- Utilized Modbus TCP for real-time data interaction and remote monitoring, coupled with a phenotypic trait extraction platform for high-definition image collection.
Main Results:
- The Wheat-RYNet model achieved high accuracy in extracting traits like leaf length, width, area, plant height, and inclination.
- An average fitting determination coefficient of 0.9 was reached when comparing extracted traits with actual measurements.
- The CropPhenoX system demonstrated stable and efficient data acquisition and processing.
Conclusions:
- CropPhenoX offers an intelligent, integrated solution for high-throughput crop phenotyping, addressing limitations of existing methods.
- The system supports advanced crop breeding analysis and precision field management through automated trait quantification.
- This technology advances smart agriculture by enabling more efficient and accurate plant trait analysis.
