Modeling the productivity of winter wheat according to soil remote sensing data
Abstract
The relationship between yield and vegetation index for winter wheat was analyzed. Information about the permanent recording of yields, harvested in 2016, for three fields in Minsk and Baranovichi regions was used to write the article. High values of correlation relationship between the data of the mass of harvested grain and the vegetation index obtained from remote sensing data were revealed during the analysis. For data at the end of May, the correlation coefficient may exceed 0.9. It was found also in the course of the study that weed vegetation prevents accurate simulation of yields of winter wheat from space survey data.
About the Authors
V. A. Genin
Институт почвоведения и агрохимии
Belarus
Belarus
N. V. Klebanovich
Белорусский государственный университет
Belarus
Belarus
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Review
For citations:
Genin V.A., Klebanovich N.V. Modeling the productivity of winter wheat according to soil remote sensing data. Сrop Farming and Plant Growing. 2018;(4):7-12. (In Russ.)
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