Estimation of yield zones using aerial images and yield data from a few tracks of a combine harvester

Estimation of yield zones using aerial images and yield data from a few tracks of a combine... Yield maps derived from yield mapping systems are often erroneous not only due to limitations in measuring the yield precisely but due to insufficient consideration of the requirements of yield mapping systems in practice as well. Aerial images of cultivated crop fields at an advanced growth stage frequently provide a spatial pattern similar to that of yield maps. Therefore, the possibility of generating a yield map using aerial images and measured yield data of a few tracks was examined for a period of 2 years in two fields grown with cereals. Yield zones based on Visible Atmospherically Resistant Index (VARI) values were compared with yield zones based on measured yield data of the whole field. About half of the grid cells of a field were allocated to the same yield zones irrespective of the mode of yield determination. Using the Kruskal–Wallis test, the data sub-sets of measured yield within the yield zones based on the VARI values differed significantly for all tested yield zones. As a result, the approach was successful in the case of these experimental sites. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Estimation of yield zones using aerial images and yield data from a few tracks of a combine harvester

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Publisher
Springer US
Copyright
Copyright © 2008 by Springer Science+Business Media, LLC
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-008-9076-y
Publisher site
See Article on Publisher Site

References

  • Heritability, correlated response, and indirect selection involving spectral reflectance indices and grain yield in wheat
    Babar, MA; Ginkel, M; Reynolds, MP; Prasad, B; Klatt, AR
  • Remedial correction of yield map data
    Blackmore, S; Moore, M
  • Utility of remote sensing in predicting crop and soil characteristics
    Leon, CT; Shaw, DR; Cox, MS; Abshire, MJ; Ward, B; Wardlaw, MC
  • Comparing the performance of techniques to improve the quality of yield maps
    Robinson, TP; Metternicht, G

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