Image Segmentation of Acidity of Agricultural Lands in Eastern Siberia

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Computational Methods in Systems and Software, CoMeSySo 2021

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-90321-3_13

Ключевые слова: image segmentation, segmentation of the dynamics of agrochemical parameters, segmentation rule

Аннотация: 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). © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Networks and Systems

Выпуск журнала: Vol. 231 LNNS

Номера страниц: 133-144

ISSN журнала: 23673370

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

Perfilyev D.A. (Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, Russian Federation)
Avdyukova T.V. (Station of Agrochemical Service ‘Solyanskaya’, Pervomayskaya Street, 19, vil. Novaya Solyanka, Krasnoyarsk Territory, 663953, Russian Federation)
Masich I.S. (Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, Russian Federation)
Zakharov P.A. (Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, Russian Federation)
Raskina A.V. (Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, Russian Federation)

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