Data Fusion of Proximal Soil Sensing and Remote Crop Sensing for the Delineation of Management Zones in Arable Crop Precision Farming

The widespread application of precision agriculture has triggered the expansion of tools for data collection and geo referencing of productivity, soil and crop properties. The correct data fusion of soil and crop parameters is a complex problem due to the abundance of inter-correlated parameters which necessitates the use of computational intelligence techniques. This paper proposes the combination of common statistical approaches with Self Organizing Clustering for delineating management zones (MZ). By this, the management of the field related to the application of inputs is becoming more accurate since the relations of the soil and crop parameters are indicated in a more precise way.

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