Modeling of effective soil fertility using remote sensing methods of agrocenoses

Abstract The presence of statistical relationships between productivity and soil properties allows one to assess soil fertility on a mathematical and statistical basis. To do this, it is necessary to substantiate a set of estimated soil properties and mathematically describe their cumulative effect...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 677; no. 3; p. 32104
Main Authors Erunova, M G, Trubnikov, Y N, Shpedt, A A, Yakubailik, O E
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2021
Subjects
Cameras
Remote sensing
Satellite imagery
Satellites
Soil fertility
Soil properties
Statistics
Unmanned aerial vehicles
Vegetation
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Summary:Abstract The presence of statistical relationships between productivity and soil properties allows one to assess soil fertility on a mathematical and statistical basis. To do this, it is necessary to substantiate a set of estimated soil properties and mathematically describe their cumulative effect on the yield. Known traditional methods of establishing relationships between soil properties and yield are time-consuming and expensive. It is practically impossible to cover large cultivated areas with these studies. Such work can be effectively performed using the means and methods of remote sensing, using imagery from satellites and unmanned aerial vehicles, which are equipped with multispectral cameras. Modern technologies provide the ability to survey a large area of the territory, uniform rules for recording the spectral characteristics of vegetation, determining the associated vegetation indices.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/677/3/032104