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- Title
Statistical Modelling and Deconvolution of Yield Meter Data.
- Authors
Tøgersen, Frede Aakmann; Waagepetersen, Rasmus
- Abstract
This paper considers the problem of mapping spatial variation of yield in a field using data from a yield monitoring system on a combine harvester. The unobserved yield is assumed to be a Gaussian random field and the yield monitoring system data is modelled as a convolution of the yield and an impulse response function. This results in an unusual spatial covariance structure (depending on the driving pattern of the combine harvester) for the yield monitoring system data. Parameters of the impulse response function and the spatial covariance function of the yield are estimated using maximum likelihood methods. The fitted model is assessed using certain empirical directional covariograms and the yield is finally predicted using the inferred statistical model.
- Subjects
PRECISION farming; MATHEMATICAL convolutions; GAUSSIAN processes; RANDOM fields; DISTRIBUTION (Probability theory); SPATIAL analysis (Statistics); STATISTICAL correlation; MATHEMATICAL statistics
- Publication
Scandinavian Journal of Statistics, 2004, Vol 31, Issue 2, p247
- ISSN
0303-6898
- Publication type
Article
- DOI
10.1111/j.1467-9469.2004.02-024.x