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The crop parameter controls whether the entire power spectrum is output or just up to the Nyquist frequency (N/2).
It comprises a standard crop interface to the APSIM engine, a generic crop model structure, a crop process library, and well-structured crop parameter files.
For validation, crop parameter sets were tested on averaged phenological development time series (DWD) available for each region for the baseline (see Fig. 2, 1981 2010).
Weather data for calibration of crop parameter sets was obtained from the centrally located Salzwedel weather station to represent the North German Plain.
Crop parameter sets for maize and wheat were successfully fitted to mean phenological development data (Fig. 2, Additional file 1: Suppl Material 1).
Calibration for obtaining crop parameter sets was performed on phenological data averaged for the North German Plain (Fig. 1, dark grey, Additional file 1: Suppl Material 1), while validation was based on averaged phenological data within each region (Fig. 1) with weather, soil, and management given as input.
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The pad and crop parameters determine the output size.
The present work confirms the estimation abilities of fuzzy subtractive clustering in potato crop parameters estimation.
Significant variations in all the crop parameters were observed after cutting the crop and consequently made the problem more critical.
In agricultural engineering the potential of laser rangefinders for measuring crop parameters is nearby unexploited.
We observed crop parameters as well as landscape parameters in the areas surrounding fields in addition to temporal aspects.
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