In this paper spatial patterns of simulated water limited potato production for a farm field in the Netherlands are analyzed using wavelets. The simulated yield patterns are decomposed using wavelets into crystals with a varying resolution. These crystals are used to relate the simulated spatial patterns to weather conditions. We compare simulated yield patterns from 10 successive years to arrive at a prototype patterns that can be used as a basis for site-specific management. Typical patterns for dry and wet years are quantified using wavelets. Wavelets provide a mechanism to distinguish between spatial patterns and allow a quantitative approach for classification of these spatial patterns.
Precision Agriculture – Springer Journals
Published: Oct 19, 2004
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