Image analysis during processing as an aid to soybean quality assessment

Authors

  • Gabriela Fernandes Xavier Department of Agronomy, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, MS, Brazil https://orcid.org/0009-0007-6409-9539
  • Luiz Eduardo de Morais Fernandes Fontes Department of Agronomy, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, MS, Brazil https://orcid.org/0009-0005-4554-7266
  • Marcio Dias Pereira Department of Forest Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN, Brazil https://orcid.org/0000-0001-9729-6503
  • Tiago Roque Benetoli da Silva Department of Agronomy, Universidade Estadual de Maringá, Umuarama, PR, Brazil https://orcid.org/0000-0002-2015-2103
  • Paulo Eduardo Teodoro Department of Agronomy, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, MS, Brazil https://orcid.org/0000-0002-8236-542X
  • Charline Zaratin Alves Department of Agronomy, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, MS, Brazil https://orcid.org/0000-0001-6228-078X

DOI:

https://doi.org/10.1590/1983-21252026v3914149rc

Keywords:

Glycine max (L) Merrill. Image J. Sphericity. Physiological quality.

Abstract

Processing is an important step in high-quality seed production. To improve this process, image analysis enables the assessment of parameters associated with physiological quality. This study aimed to determine whether X-ray image analysis can be used as a tool in the processing process to relate the physiological quality of soya beans. The seeds were collected at the dryer exit and after bagging. The treatments included four varieties (HO Aporé IPRO, DM 73I75 RSF IPRO, Brasmax Olimpo IPRO, and Brasmax Bônus IPRO). The seeds from each sampling point underwent water content, germination, and tetrazolium tests. To obtain images, the soya beans were placed in an acrylic dish containing 50 units, with four replicates per treatment, and exposed to X-rays for 10 s at an intensity of 31 kV and a distance of 55.4 cm from the radiation source. The images were processed using ImageJ software to obtain measurements of the area, perimeter, width, length, median gray, integrated density, aspect ratio, and solidity. Data were subjected to principal component and correlation analyses. The results of the present study indicate that seeds with greater sphericity tend to have higher physiological quality. Analysis of X-ray images at the end of processing is a promising tool for identifying batches of spherical seeds with a view towards higher physiological quality.

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Published

05-11-2025

Issue

Vol. 39 (2026)

Section

Scientific Article

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