CONCLUSIONS AND RECOMMENDATIONS Rice Plant Growth Stage Mapping

Kim T, Park S.R, Kim M.G, Jeong S, Kim K.O, 2005, Tracking road centerlines from high resolution remote sensing images by least squares correlation matching. Photogrammetric Engineering Remote Sensing 7012, 1417- 1422. Lillesand,T.M. and Kiefer,R.W, 1979, Remote Sensing and Image Interpretation, NewYork, Wiley. 2 nd edition. Mather P.M. 2004. Computer Processing of Remotely-Sensed Images . London: John Wiley Sons Ltd Monireh S.H. and Maryam Z., 2012, A review of medical image classification using Adaptive Neuro-Fuzzy Inference System ANFIS, Journal of Medical Signal and Sensors Vol 2 No1 Nugroho D.A., Sukojo B.M., Wahyudi Y., 2008. Rice plants Identification with convert radians to the reflectance data in ASTER image, Prosiding Pertemuan Ilmiah Tahunan MAPIN XVII, ISBN: 978-979-25-8362-5. pp 117-130. Panuju D.R., Trisasongko B.H, 2008, The Use Of Statistical Tree Methods On Rice Field Mapping, Jurnal ilmiah Geomatika Vol. 14 No.2, Bakosurtanal, Desember 2008 Patil V.C,Maru A, Shashidhara G.B. and U.K.Shanwad, 2002. Remote Sensing, Geographical Information System and Precision Farming in India: Opportunities and Challenges. http:www.jsai.or.jpafitaafita- conf2002part6p478.pdf pp 1-9 Reulke R., Wehr A., Griesbach D,2004, High Resolution Mapping Using CCD- line Camera and Laser Scanner with Integrated Position and Orientation System , International Society for Photogrammetric and Remote Sensing volume XXXV, p. 506. Rondeaux, G., M. Steven and F. Baret, 1996. Optimization of soil-adjusted vegetation indices, Remote Sensing of Environment, 55, pp.95-107. Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering, 1973. Monitoring vegetation systems in the Great Plains with ERTS, Third ERTS Symposium, NASA SP-351 I, pp. 309-317. Salem F., M. Kafatos, T. El-Ghazawi, R. Gomez, R. Yang, 2005. Hyperspectral image assessment of oil-contaminated wetland, International Journal Remote Sensing., Vol. 26, N 4, pp. 811-821 Samaniego.L, Bardossy.A, Schulz.k, 2008, Supervised Classification of Remotely