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Modeling of effective soil fertility using remote sensing methods of agrocenoses
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 yi...
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Published in: | IOP conference series. Earth and environmental science 2021-03, Vol.677 (3), p.32104 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 1755-1307 1755-1315 |
DOI: | 10.1088/1755-1315/677/3/032104 |