The improvement of management in agricultural exploitations using decision support systems based on Data Mining technologies

Abstract

The management process within the agricultural exploitations is going through important changes due to the large amount of data that exist within any organization. This large amount of data can no longer be handled by human individuals and the involvement of information and communication technologies in this field is a must. A series of decision support systems are not just simple integrated computer tools, as they embed artificial intelligence techniques, thus resulting intelligent decision support systems. If for the structured, programmable decisions things are pretty distinct, as there is a preset algorithm for solving the problem that can be applied every time, the non-structured decisions, for that there is no preset algorithm for their fundamenting, the system must be able to reproduce a similar way of thinking to the human one, issue that can be achieved through artificial intelligence techniques, especially since this domain of artificial intelligence is developing very fast and is leading to spectacular outcomes.For the data to be useful, one must extract information and knowledge, and this is the phase that Data Mining technologies become very useful in finding patterns by using prediction techniques. Data Mining proves to be highly important throughout the decision-making process from an efficiency point of view as well as from a time-consuming one.Data Mining technologies, due to their characteristics, are very suitable to analyze large amount of data. Data Mining is aiming to discover patterns within data sets, while other analytical technologies, such as queries, statistical analysis systems are not able to, and OLAP tools are based upon verifications, which prove to be limited.