Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

X-Ray For Grain

21.02.2003


Researchers from St. Petersburg have invented a way to check the viability of grains and seeds of agricultural plants without prior germination. The scientists assume that injuries of the germ and tissues of seeds can be revealed through X-ray photomicrography with the help of computer recognition system. This methodology allows determining the quality of wheat, barley, oats, rye and other crops seed grain.



The yield of agricultural cultures depends on viability and quality of seed grain. Researchers from the Agrophysical Research Institute, Russian Agricultural Academy (St. Petersburg) M.V. Arkhipov, L.P. Gusakova and D. I. Alekseyeva have developed a computer system to reveal nonviable and defective grains and seeds without prior germination.

The X-rays photograph is taken of seeds or grain. The photographs show the breaks of integrity of the corn seed storage tissue and defects of the germ. They can be caused by different reasons - mechanical load while transporting and storage, bacterial or mycosis infection, or vermin. The seeds often perish because of losing the germ - the germ can be knocked out in harvesting or can be eaten out by insects. The researchers have made reference images of each defect to compare X-ray photographs of the seeds with them.


X-ray photographs are made in the following way: the seeds are stuck to the transparent polymeric plate, an ordinary photographic film pack being placed directly under it. The X-ray generator is switched on and then the film is developed. X-ray microscope equipped with a digital camera can be used instead of photographic film. The pictures make the peculiarities of seed anatomic structure clearly visible, these peculiarities help to make conclusion on the extent of germinating capacity or infectiousness.

The researchers have compiled a digital library containing reference images of grains of wheat, barley, rye, oats, rice, and seeds of sunflower, tomatoes, cucumbers, dill and cotton-plant. The library helps to discern grains and seeds defects and plants diseases. Discernment is carried out in automatic mode, for this purpose the researchers have developed SEAN computer system. The system compares graphical images of examined seeds with the reference samples stored in the computer memory. If required, the operator can correct the diagnosis made in automatic mode. According to Mikhail Arkhipov (Doctor of Biology), project manager, the system will soon enable assorting the seeds in fully automatic mode and immediate discarding of infected or defective ones. The researchers of the Agrophysical Research Institute have already developed the prototype of this device.

Ruben Iskandarian | Informnauka

More articles from Agricultural and Forestry Science:

nachricht Engineers use electricity to clean up toxic water
08.07.2020 | University of Sydney

nachricht AI goes underground: root crop growth predicted with drone imagery
18.06.2020 | International Center for Tropical Agriculture (CIAT)

All articles from Agricultural and Forestry Science >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: The spin state story: Observation of the quantum spin liquid state in novel material

New insight into the spin behavior in an exotic state of matter puts us closer to next-generation spintronic devices

Aside from the deep understanding of the natural world that quantum physics theory offers, scientists worldwide are working tirelessly to bring forth a...

Im Focus: Excitation of robust materials

Kiel physics team observed extremely fast electronic changes in real time in a special material class

In physics, they are currently the subject of intensive research; in electronics, they could enable completely new functions. So-called topological materials...

Im Focus: Electrons in the fast lane

Solar cells based on perovskite compounds could soon make electricity generation from sunlight even more efficient and cheaper. The laboratory efficiency of these perovskite solar cells already exceeds that of the well-known silicon solar cells. An international team led by Stefan Weber from the Max Planck Institute for Polymer Research (MPI-P) in Mainz has found microscopic structures in perovskite crystals that can guide the charge transport in the solar cell. Clever alignment of these "electron highways" could make perovskite solar cells even more powerful.

Solar cells convert sunlight into electricity. During this process, the electrons of the material inside the cell absorb the energy of the light....

Im Focus: The lightest electromagnetic shielding material in the world

Empa researchers have succeeded in applying aerogels to microelectronics: Aerogels based on cellulose nanofibers can effectively shield electromagnetic radiation over a wide frequency range – and they are unrivalled in terms of weight.

Electric motors and electronic devices generate electromagnetic fields that sometimes have to be shielded in order not to affect neighboring electronic...

Im Focus: Gentle wall contact – the right scenario for a fusion power plant

Quasi-continuous power exhaust developed as a wall-friendly method on ASDEX Upgrade

A promising operating mode for the plasma of a future power plant has been developed at the ASDEX Upgrade fusion device at Max Planck Institute for Plasma...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

Contact Tracing Apps against COVID-19: German National Academy Leopoldina hosts international virtual panel discussion

07.07.2020 | Event News

International conference QuApps shows status quo of quantum technology

02.07.2020 | Event News

Dresden Nexus Conference 2020: Same Time, Virtual Format, Registration Opened

19.05.2020 | Event News

 
Latest News

X-ray scattering shines light on protein folding

10.07.2020 | Life Sciences

Looking at linkers helps to join the dots

10.07.2020 | Materials Sciences

Surprisingly many peculiar long introns found in brain genes

10.07.2020 | Life Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>