Issue |
E3S Web Conf.
Volume 285, 2021
International Conference on Advances in Agrobusiness and Biotechnology Research (ABR 2021)
|
|
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Article Number | 02024 | |
Number of page(s) | 7 | |
Section | Agronomy and Crop Sciences | |
DOI | https://doi.org/10.1051/e3sconf/202128502024 | |
Published online | 06 July 2021 |
Use of multi-temporal Earth remote sensing data for the assessment of agricultural area
Belgorod State Agricultural University, 1 Vavilova str., Maysky, Belgorod region, Russia, 308503
* Corresponding author: melentev_07@mail.ru
The article discusses the procedure for identifying unused agricultural soils for their use in economic circulation. The object of the research is the Belgorod district of the Belgorod Region, Russian Federation. Methods of planned soil inventory form the basis for identifying unused agricultural soil, the main purpose of which is to assess the reasons for land retirement from active economic circulation, cultural and technical state of landholdings and to prepare recommendations for commissioning soils into agricultural circulation. Agriculture is a vast and vital branch of the national economy of the Russian Federation It is necessary to introduce modern technologies, state-of-the-art machinery, investments as well as to put into action several land management measures in order to facilitate the development of this sector of the national economy. The data provided by Earth remote sensing gives the necessary and relevant information to the customers regarding structure, state and detailed characteristics of agricultural soils and other assets of agricultural production; the line-up, state and growth of crops. Earth remote sensing data allows to solve more complex analytical tasks, such as forecasting crop yield and calculating the optimal doses of fertilizers. It is convenient to use Earth remote sensing data for monitoring and analyzing soils. With the assistance of that data, based on satellite images, it is possible to identify not only the types of crops, but also the degree of weediness, state of yield, accurate field boundaries, sown area and so on and so forth. The aim of this project is to perform automated decryption in ScanEx Web Geomixer software.
© 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.
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