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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

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Published on: February 2, 2019

GridFree: a python package of imageanalysis for interactive grain counting and measuring.

Yang Hu¹, Zhiwu Zhang¹

¹Department of Crop and Soil Sciences, Washington State University, Pullman, WA, USA.

Plant Physiology

|October 7, 2021

Summary

This summary is machine-generated.

GridFree software accurately segments and measures grain characteristics from images, overcoming challenges in high-throughput phenotyping. This tool accelerates genetic studies for improved crop yield by automating laborious manual measurements.

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Area of Science:

Agricultural Science
Computer Vision
Bioinformatics

Background:

Grain characteristics are vital for crop yield, but manual measurement is a bottleneck.
High-throughput phenotyping using image analysis faces challenges in kernel segmentation.

Purpose of the Study:

To develop an automated software package, GridFree, for accurate segmentation and measurement of grain characteristics from images.
To overcome segmentation challenges, especially with adjacent kernels and image noise.

Main Methods:

GridFree employs unsupervised machine learning (K-Means) and principal component analysis for kernel segmentation.
A dynamic, user-experience-based thresholding strategy is used for a divide-and-combine approach to segment adjacent kernels.
The software measures kernel length, width, and area, with options for scaling.

Main Results:

GridFree demonstrated superior accuracy in seed counting across multiple crop species compared to existing software.
The software effectively segments individual kernels, even when closely packed or in noisy images.
Evaluations confirmed GridFree's ability to reduce errors in high-throughput phenotyping.

Conclusions:

GridFree provides an efficient, accurate, and user-friendly solution for high-throughput grain analysis.
The software facilitates genetic dissection of grain traits and aids in crop yield improvement.
GridFree is freely available with a graphical user interface, reducing manual labor and accelerating research.