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COMPARATIVE ANALYSIS OF THE YIELD MAP OBTAINED FROM THE JOHN DEERE COMBINE AND THE ASF-INDEX DISTRIBUTION MAP

П. В. Королева, Elena Dolinina, Д. И. Рухович

First published: 2020-09-20https://doi.org/10.5593/sgem2020/2.2/s10.023View metrics

Abstract

Two independent sources of information on intra-field heterogeneity of crop productivity were investigated. Field verification of both sources of information was carried out. The first source is a map of stable intra-field heterogeneity of soil fertility. This source is obtained by analyzing large satellite data for decades (1984 - 2020). The second source is a crop yield map for a particular year. The map was obtained according to the results of yield measurements from the sensors of the John Deere combine. A map of stable intra-field heterogeneity of soil fertility was created in 2017. The corn yield map was obtained in 2018. Field measurements of yield were carried out in 2017 and 2018. Field measurements showed that in zones of reduced fertility of stable intra-field heterogeneity map the yield of winter wheat and corn is lower than in zones of increased fertility. Thus, the information content of the map is confirmed. Field measurements of the yield of corn confirmed the correct calibration of the sensors of the combine. The map of stable intra-field heterogeneity of soil fertility and the map of corn productivity were intersected. The resulting graphs showed that the average yield according to the combine data has a high correlation with the fertility zones. The distribution of yields within the zones is almost normal distribution.

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Publication details

Title
COMPARATIVE ANALYSIS OF THE YIELD MAP OBTAINED FROM THE JOHN DEERE COMBINE AND THE ASF-INDEX DISTRIBUTION MAP
Authors
П. В. Королева, Elena Dolinina, Д. И. Рухович
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2020
Pages
191-198
SWS Citekey
Koroleva202010191198
ISSN
1314-2704
ISBN
978-619-7603-07-1
Language
en
Publication type
Conference Paper
Keywords
References7
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