765 Data Fusion of Proximal Soil Sensing and Remote Crop Sensing for the Delineation of Management Zones in Arable Crop Precision Farming Xanthoula Eirini Pantazi 1 , Dimitrios Moshou 2 , Abdul Mounem Mouazen 3 , Thomas Alexandridis 2 , Boyan Kuang 4 1 School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece, e-mail: renepantazi@gmail.com 1 School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece 3 Environmental Technology and Science, Cranfield University, Bedfordshire, United Kingdom, e-mail: a.mouazen@cranfield.ac.uk 4 Environmental Technology and Science, Cranfield University, Bedfordshire, United Kingdom Abstract. 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. Keywords: Self-Organizing Maps, k-means, satellite remote sensing, proximal soil sensing, clustering 1 Introduction Precision agriculture is oriented to field management taking into account its spatio- temporal variability. Its extensive use has enabled the development of tools which are capable of collecting data about soil and crop status, productivity and geolocation of these properties. The quantity of generated data demands the use of information technology in order to derive decisions concerning the management of production based on crop variability. The most widely used approach to manage the variability of fields concerns the use of MZ. Each zone is treated with the suitable level of inputs (soil tillage, seed rate, fertilizer rate, crop protection). The term of ‘MZ’ in a field represents a sub-region inside the field that exhibits a relatively homogeneous grouping of yield-limiting factors, concerning the treatment regime of using single rate for this zone. The MZ are defined based on soil and yield measurements, probably over a period of years (Fraisse et al., 2001). Soil information can be