| Issue |
E3S Web Conf.
Volume 285, 2021
International Conference on Advances in Agrobusiness and Biotechnology Research (ABR 2021)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 6 | |
| Section | Agronomy and Crop Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202128502016 | |
| Published online | 06 July 2021 | |
Research of the spectral characteristics of healthy and fusarium-infected wheat seeds variety Moskovskaya 56 by hyperspectral spectroscopy
1
Federal Scientific Agro-Engineering Center VIM, 1 Institutsky proezd, 5, Moscow, 109428, Russia
2
Don state technical university, Gagarin Square, 1, Rostov-on-Don, 344000, Russia
3
Rostov State Transport University, Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya Square, 2, Rostov-on-Don, 344038, Russia
* Corresponding author: maxmoskovsky74@yandex.ru
In this paper, a spectroscopic identification method is considered for determining the maxima and minima of spectral lines to identify pathogenic microflora in grain seeds. The paper presents the justification for the application of the method of hyperspectral imaging, in order to identify the disease fusarium in the seeds of soft winter wheat. Based on the graphs, it can see the general picture of the influence of the disease fusarium on wheat grains. There is a general decrease in the reflectivity of the grain surface. The strongest deviation of spectral lines is observed in the limit from 660 nm to 900 nm.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.