A Neural Network Model for Classifying Olive Farms

The application of web marketing and definition of corporate strategies has become common practice in all companies, together with the use of mathematical models as a tool for planning and studying the dynamics of communication within the market. We apply an unsupervised artificial neural network for the classification of a series of olive farms to try to determine which features are most rewarding from the point of view of the communication strategies and market (including the identification of new situations and decision making). The objective is to identify and group companies that have similar characteristics through a set of common indicators and create a rating for defining which companies are the best performing and how companies in the sector are related. This work is made possible by the use of a computer software designed specifically for the olive oil sector, which examines many aspects of business life and also implements the platform among businesses, each other and the market. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of The Hellenic Association for Information and Communication Technologies in Agriculture Food and Environment (HAICTA)