REVIEW OF DATA MINING APPLICATIONS IN FORESTRY SECTOR

BROZ, D.; OLIVERA FARIAS, A.; VIANA CÉSPEDES, V.; ROSSIT, DANIEL

Montevideo

Conferencia; I International Conference on Agro BigData and Decision Support Systems in Agriculture; 2017

Universidad de la República

Modern technology makes possible to collect large amount of data that can be processed and transformed in valuable information for several human activities. Forest industry particularly can take advantage of such technology because of modern forest harvesters are equipped with a system for data collection and communication called StanForD. Data mining allows users to process large databases to determine trends and patterns. In this extended abstract we present a brief revision of the literature dedicated to the issue and, also, we indicate synthetically future research directions that could be useful for forest operations management. Some DM techniques are artificial neural network and decision tree and they are used to perform association, classification and clustering. Nonetheless, data mining techniques have been successfully applied to several fields, e.g. industry, marketing, sociology, economy, agriculture and environmental sciences.