| Issue |
E3S Web Conf.
Volume 333, 2021
Regional Problems of Earth Remote Sensing (RPERS 2021)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 11 | |
| Section | Monitoring of the Environment, Natural and Anthropogenic Objects and Phenomena | |
| DOI | https://doi.org/10.1051/e3sconf/202133302010 | |
| Published online | 21 December 2021 | |
Image segmentation of acidity of agricultural lands in Eastern Siberia
1 Siberian Federal University, Institute of Space and Information Technologies, Russian Federation
2 Director (e-mail: agrohim_24_3@mail.ru)Station of Agrochemical Service ‘Solyanskaya’, Pervomayskaya str., 19, vil. Novaya Solyanka, Russian Federation
3 Deputy Head of Library and Publications Department Siberian Federal University, Russian Federation
* Corresponding author: perfilyev7775@yandex.ru
The paper proposes a mathematical model for segmentation of the acidity dynamics of agricultural lands in Eastern Siberia. The segmentation rule is based on the analysis of the image frequency characteristic acidity, which makes it possible to predict the change in the property of the segmented areas. The mathematical approach to the segmentation of the dynamics of agrophysical parameters of agricultural soils has proves to be effective in managing the quality of the natural energy state on the control plots. It is expected that the experience will be applied to the entire responsibility area of ‘SAS’ ‘Solyanskaya’ (912.4 thousand ha). Introduction and distribution of innovative practices and technologies will provide new opportunities for monitoring and management of the natural energy state quality of the East-Siberian territory (23 million ha).
Key words: image segmentation / segmentation rule / segmentation of the dynamics of agrochemical parameters
© 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.