Journal of Food Science and Technology

, Volume 55, Issue 10, pp 3949–3959 | Cite as

Machine vision based alternative testing approach for physical purity, viability and vigour testing of soybean seeds (Glycine max)

  • Shveta Mahajan
  • Sudesh Kumar Mittal
  • Amitava DasEmail author
Original Article


The conventional methods for seed quality testing have several limitations as they involve visual assessment and are destructive. In this context, a study was performed to assess the suitability of non-contact, non-destructive type imaging techniques such as visible imaging and X-ray imaging for conducting physical purity, viability and vigour tests of soybean seeds. The seeds that appeared healthy in external surface examination using visible tests as well as in internal assessment using X-ray tests were classified as sound seeds while the other seeds were marked as not-sound seeds. The obtained results were then correlated with the results of the standard germination tests. The high correlation results between the imaging tests and the standard conventional germination tests indicate the effectiveness and usability of the proposed image analysis based technique as an attractive alternative to the existing quality assessment methods for soybean seeds.


Visible and X-ray imaging Soybean seeds Vigour Viability Physical purity 



The authors would like to express sincere gratitude to Director, CSIR-CSIO for providing infrastructural facilities. The authors would like to acknowledge Punjab Agricultural University (PAU), Ludhiana, India (Dr B. S. Gill: for providing soybean seeds of SL525 variety and Director Seeds: for providing assistance to conduct the standard germination tests at their laboratory). One of the author, Shveta Mahajan, acknowledges the grant of SRF-GATE fellowship from Council of Scientific and Industrial Research (CSIR), New Delhi. This study was supported in part by CSIR-CSIO under the network project ASHA, Task 1.4.


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Copyright information

© Association of Food Scientists & Technologists (India) 2018

Authors and Affiliations

  1. 1.Academy of Scientific and Innovative Research (AcSIR)ChandigarhIndia
  2. 2.Computational InstrumentationCSIR-Central Scientific Instruments OrganisationChandigarhIndia
  3. 3.Computer Science and Engineering DepartmentRayat Bahra UniversityMohaliIndia

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