Open Access
Subscription Access
Soil Information System: Web-Based Solution for Agricultural Land-use Planning
The soil-forming factors, especially climate, vegetation and topography, act on a range of rock formations and parent materials leading to the development of different kinds of soils. Through concerted efforts, soil datasets generated earlier are used to develop maps and soil information systems at different scales. Progress in basic and fundamental research on the formation of Indian soils as related to climate, relief, organisms, parent materials and time has helped in developing the soil information system.
Keywords
Agriculture, Information Technology, Landuse Planning, Soils.
User
Font Size
Information
- Department of Archaeology, Government of Tamil Nadu; http://www.tnarch.gov.in/epi.htm
- Mara, H., Hering, J. and Kromker, S., GPU based optical character transcription for ancient inscription recognition. In Proceedings of the 15th International Conference on Virtual Systems and Multimedia, Vienna, Austria, 2009, pp. 154-159; doi:10.1109/VSMM.2009.29
- Digital photography tutorials; http://www.cambridgeincolour.com/ tutorials.htm
- Rajakumar, S. and Subbiah Bharathi, V., 7th Century ancient Tamil character recognition from temple wall inscriptions. Indian J. Comput. Sci. Eng., 2012, 3(5), 673-677.
- Savarese, S., Rushmeier, H., Bernardini, F. and Perona, P., Shadow carving. In Proceedings of the International Conference on Computer Vision, Vancouver, Canada, June 2001, 2001, pp.190-197.
- Woodham, R. J., Photometric method for determining surface orientation from multiple images. Opt. Eng., 1980, 9(1), 139-144.
- Woodham, R. J., Photometric stereo: a reflectance map technique for determining Surface orientation from image intensity. Proc.SPIE, 1978, 155, 136-143.
- Einarsson, P., Hawkins, T. and Debevec, P., Photometric Stereo for Archaeological Inscriptions, SIGGRAPH 2004 Sketch, University Southern California Institute for Creative Technologies; http://gl.ict.usc.edu/Research/Inscriptions/photometricstereo_sketch.pdf
- Nayar, S. K., Ikeuchi, K. and Kanade, T., Shape from interreflections.In Proceedings of the International Conference on Computer Vision, Osaka, Japan, 1990, pp. 2-11.
- Nayar, S. K., Ikeuchi, K. and Kanade, T., Surface reflection: physical, geometrical perspectives. IEEE Trans. Pattern Anal. Machine Intell., 1991, 13(7), 611-634.
- Zhang, R., Tsai, P.-S., Cryer, J. E. and Shah, M., Shape from shading: a survey. IEEE Trans. Pattern Anal. Machine Intell., 1999, 21(8), 690-706.
- Lam, L., Lee, S. and Suen, C., Thinning methodologies - a comprehensive survey. IEEE Trans. Pattern Anal. Machine Intell., 1995, 17(9), 914-919.
- Zhang, T. Y. and Suen, C. Y., A fast parallel algorithm for thinning digital patterns. Commun. ACM, 1984, 27, 236-239.
- Ionescu, M. M. and Ralescu, A. L., The impact of image partition granularity using fuzzy hamming distance as image similarity measure. In Proceedings of the 15th Midwest Artificial Intelligence and Cognitive Sciences Conferences, Chicago IL, 16-18 April 2004, pp. 111-118.
- Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Prentice Hall, New Jersey, 2002.
- http://www.homepages.inf.ed.ac.uk/rbf/HIPR2/unsharp.htm
- Otsu, N., A threshold selection method from gray level histograms.IEEE Trans. Syst. Man Cybernetics, 1979, 9(1), 62-66.
Abstract Views: 339
PDF Views: 155