Statistical analysis and deconvolution for yield meter data

 This project considers the problem of mapping spatial variation of yield in a field using data from a yield monitoring system on a combine harvester. 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. Model parameters are estimated using maximum likelihood methods and the fitted model is assessed using certain empirical directional covariograms. Cooperation with Frede Aakmann Tøgersen, Research Centre Foulum.