02140naa a2200325 a 450000100080000000500110000800800410001902000220006002400410008210000210012324501170014426000090026152010280027065000110129865000190130965000140132865000250134265000250136765300210139265300220141365300270143565300220146270000230148470000190150770000240152670000220155070000230157270000210159577301980161618767382024-02-27       2011    bl uuuu     u00u1 u    #d  a978-1-61692-871-17 a10.4018/978-1-61692-871-1.ch0042DOI1 aROMANI, L. A. S.  aMining climate and remote sensing time series to improve monitoring of sugar cane fields.h[electronic resource]  c2011  aThis chapter discusses how to take advantage of computational models to analyze and extract useful information from time series of climate data and remote sensing images. This kind of data has been used for researching on climate changes, as well as to help on improving yield forecasting of agricultural crops and increasing the sustainable usage of the soil. The authors present three techniques based on the Fractal Theory, data streams and time series mining: the FDASE algorithm, to identify correlated attributes; a method that combines intrinsic dimension measurements with statistical analysis, to monitor evolving climate and remote sensing data; and the CLIPSMiner algorithm applied to multiple time series of continuous climate data, to identify relevant and extreme patterns. The experiments with real data show that data mining is a valuable tool to help agricultural entrepreneurs and government on monitoring sugar cane areas, helping to make the production more useful to the country and to the environment.  aModels  aRemote sensing  aSugarcane  aTime series analysis  aSensoriamento Remoto  aCana-de-açúcar  aDados climáticos  aModelos computacionais  aSéries temporais1 aSOUSA, E. P. M. de1 aRIBEIRO, M. X.1 aÁVILA, A. M. H. de1 aZULLO JÚNIOR, J.1 aTRAINA JÚNIOR, C.1 aTRAINA, A. J. M.  tIn: PRADO, H. A. do; LUIZ, A. J. B.; CHAIB FILHO, H. Computational Methods for Agricultural Research: Advances and Applications. Hershey: Information Science Reference, 2011. chap. 4, p. 50-72.