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Updated: Oct 10, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

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Published on: March 28, 2025

PocketMaize: An Android-Smartphone Application for Maize Plant Phenotyping.

Lingbo Liu¹, Lejun Yu^1,2, Dan Wu¹

¹Wuhan National Laboratory for Optoelectronics, Britton Chance Center for Biomedical Photonics, Key Laboratory of Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in Plant Science

|December 13, 2021

Summary

A new portable smartphone app enables rapid, low-cost plant phenotyping in the field, measuring up to 45 traits for improved crop breeding. This system facilitates wild species identification and maize phenotyping.

Keywords:

application deep learning maize plants plant phenotyping smartphone

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Published on: June 16, 2018

Area of Science:

Agricultural Science
Plant Biology
Computer Vision

Background:

Developing portable phenotyping systems is crucial for breeders to characterize wild species.
Existing in-laboratory systems are advanced but lack portability for field use.
Progress in small-scale, deployable phenotyping systems for wild areas is limited.

Purpose of the Study:

To develop a portable, on-device phenotyping smartphone application for Android.
To enable measurement of numerous plant, leaf, and stem traits using images.
To facilitate rapid trait measurement for crop breeding in diverse environments.

Main Methods:

Developed a smartphone application for whole-plant, on-device phenotyping.
Utilized a DeepLabV3+ model for image segmentation to mitigate outdoor environmental influences.
Implemented an angle calibration algorithm to minimize imaging angle-induced errors.

Main Results:

The application measures up to 45 traits (15 plant, 25 leaf, 5 stem) from images.
Image analysis (20-million-pixel) averages under 2,500 ms execution time.
The system provides real-time trait measurement capabilities.

Conclusions:

The developed application serves as a portable, on-device fast phenotyping platform.
This tool enhances maize phenotyping in field conditions.
The system has the potential to significantly benefit future crop breeding efforts.