Skip to main content

The Method of Computer Morphometry in the Analysis of Vegetable Seeds

  • Chapter
  • First Online:
Complex Systems: Innovation and Sustainability in the Digital Age

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 282))

  • 598 Accesses

Abstract

The instrumental innovative methods for analyzing the quality of seeds have recently come to replace the traditional standard methods. The traditional methods differ unfavorably from instrumental ones, particularly in labor intensity, duration of plumpness, and information content. At the same time, with the introduction of new agricultural technologies in crop farming, the requirements for the quality of seeds are increasing. The paper focuses on the adaptation of the method of digital morphometry in relation to the seeds of vegetable crops. The matrix heterogeneity of the Persian onion seeds, driven by the different-tiered arrangement within the inflorescence, is analyzed. The research demonstrates that as the inflorescence grows, the seeds decrease in size and are less fulfilled. Within the inflorescence, the different quality of the seeds is expressed as follows: as we move away from the base of the inflorescence, the seeds acquire a darker color and become less mature. The authors conclude that digital morphometry is more accurate than the “manual” one. Their analysis of the smallest seeds of the perennial wall-rocket variety shows that different batches of seeds significantly differ in size characteristics against each other. We believe that there is no alternative to digital morphometry in these measurements. The innovative instrumental digital method of seed morphometry VideoTesT-Morphology (Argus-BIO) can be successfully used to assess the quality of seeds of vegetable crops, both by their linear parameters and by coloring the surface of the seeds.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abiduev, A.A.: Modeling the process of cleaning wheat seeds from hard-to-separate impurities. Vestnik East Siberian State Technol. Univ. 3, 24–28 (2009)

    Google Scholar 

  2. ArgusSoft: The software official website. Retrieved from https://argussoft.org (2019)

  3. Arkhipov, M.V., Pleidkin, N.S., Gusakova, L.P., Tyukalov, Yu.A., Perekopsky, A.N.: Introscopic express control of the integrity of the internal structures of the grain during the formation of production batches of grain, most suitable for long-term storage. Breed. Seed Prod. Genet. 2(2), 52–54 (2015)

    Google Scholar 

  4. Arkhipov, M.V., Priyatkin, N.S., Zhuravleva, E.V.: A comprehensive approach to studies of the problem of inhomogeneity of seeds by biophysical methods. In: SIS XVIII: International Scientific Congress, pp 19–20. Moscow, Russia (2014)

    Google Scholar 

  5. Demyanchuk, A., Grundas, S., Velikanov, L.: Identification of wheat morphotype and variety based on x-ray images of Kernels. Adv. Agrophys. Res. 10, 223–267 (2013)

    Google Scholar 

  6. Kapadia, V.N., Sasidharan, N., Patil, K.: Seed image analysis and its application in seed science research. Adv. Biotechnol. Microbiol. 7(2), 1–3 (2017)

    Google Scholar 

  7. Makrushin, N.M.: The Basics of Heterospermatology. Russia, Moscow (1989)

    Google Scholar 

  8. Musaev, F.B., Dobrutskaya, E.G., Kazydub, N.G., Skorina, V.V.: Assessing the environment of natural zones as a context for selecting the adaptability and propagation of vegetable bean seeds. Vegetable Crops Russ. (Ovoshi Rossii) 1(18), 41–45 (2013)

    Article  Google Scholar 

  9. Nielsen, M.S., Feidenhans’l, R., Damkjær, K.B.: Quantitative in-situ monitoring of germinating barley seeds using x-ray dark-field radiography. J. Food Eng. 198, 98–104 (2017)

    Article  Google Scholar 

  10. Sandeep Varma, V., Kanaka Durga, K., Keshavulu, K.: Seed image analysis: its applications in seed science research. Int. Res. J. Agric. Sci. 1(2), 30–36 (2013)

    Google Scholar 

  11. Skorina, V.V., Musaev, F.B., Skorina, V.V., Pugachev, R.M.: Selection and Seed Production of Vegetable Beans. Belarusian Agricultural Academy, Gorki, Belarus (2015)

    Google Scholar 

  12. Tarasenko, A.P.: Reduction of Seed Injury During Harvesting and Post-harvest Processing. Voronezh State Agrarian University, Voronezh, Russia (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mariya I. Ivanova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Musaev, F.B., Priyatkin, N.S., Ivanova, M.I. (2020). The Method of Computer Morphometry in the Analysis of Vegetable Seeds. In: Bogoviz, A. (eds) Complex Systems: Innovation and Sustainability in the Digital Age. Studies in Systems, Decision and Control, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-44703-8_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44703-8_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44702-1

  • Online ISBN: 978-3-030-44703-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics