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Monitoring Growth of Wheat Crop using Digital Image Processing

Anil Kakran, Rita Mahajan


Automation is need of future and automation in farming is necessary as there is acute storage of both fertile land and skilled farmer. Judging the need of crop is quite difficult as the demand of nutrients changes with age of crop. The growth of a wheat plant is measured in stages. Understanding the stages of growth is important to help farmers optimize the yield. The optimum timing of fertilizer, irrigation, herbicide, insecticide, and fungicide applications are also best determined by crop growth stage rather than calendar date. This work provide a solution to finding the age of wheat crop, once the age of crop is found farmer can take precious and calculated step to enhance their production of wheat or other agricultural product. Colour processing feature of Digital Image Processing is used for finding the age of wheat crop. RGB and HSI colour models utilized in examining wheat crop.


Digital Image Processing, Colour Processing, RGB, HIS

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A. K. Joshi, B. Mishra, R. Chatrath, G. Ortiz Ferrara and Ravi P. Singh, Wheat improvement in India: present status, emerging challenges and future prospects "Improving Yield Potential in Wheat"

DWR.IN - Directorate of Wheat Research, karnal

D. Brian Fowler,Crop Development Centre, University of Saskatchewan, Saskatoon, Canada.

Nelson, J.E., K.D. Kephart, A. Bauer, and J.E. Connor. 1988. Growth staging of wheat, barley, and wild oat. Montana State Univ. Coop. Exten. Service, Bozeman, and Univ. Idaho Coop Exten. Service, Moscow.

The Agricultural and Processed Food Products Export Development Authority (APEDA), New Delhi,

Haun, J.R. 1973. Visual quantification of wheat development. Agron. J. 65: 116-119

Large, E.G. 1954. Growth stages in cereals: Illustration of the Feeke's scale. Pl. Path. 3: 128-129.

Zadoks, J.C., T.T. Chang, and C.F. Konzak. 1974. A decimal code for growth stages of cereals. Weed Res. 14: 415-421.

Cook, R.J. and R.J. Veseth, 1991. Wheat health management. Amer. Phytopath. Soc., St. Paul, Minn.

S. J. Sangwine, Colour in image processing

B. Silver, "An Introduction to Digital Image Processing”2000, fetch from on January 2010.

W. Osten, "Digital Image Processing for Optical Metrology,” Springer Handbook of Experimental Solid Mechanics, 2008.

H.C. Chung, J. Liang, S. Kushiyama and M. Shinozuka, Digital image processing for non-linear system identification, 2004, pp. 691-707.

V. Lakshmanan, T. Smith, G. J. Stumpf and K. Hondl, “The warning decision support system-integrated information,” Weather and Forecasting, Vol. 22(3), 2007, pp. 596-612.

A.A. Gowen, C.P. O'Donnell, P.J. Cullen, G. Downey, J.M. Frias, "Hyperspectral imaging an emerging process analytical tool for food quality and safety control," Trends Food Sci. Technol. 2007, pp. 590-598.

G. Dougherty, "Digital Image Processing for Medical Applications". Cambridge University Press, 2009.

B. Hyde, "Galaxy image processing and morphological modeling: Applications to understanding galaxy formation and evolution," January 1, 2009

J. Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition," Pattern Recognition Letters, Volume 26, Issue 2, January 2005.

R. C. Gonzalez and R. E. Woods, Digital Image Processing. Prentice Hall, 2nd ed., 2002.

D. S. Jayas, J. Paliwal, and N. S. Visen, "Multi-layer neural networks for image analysis of agricultural products," J. Agric. Eng. Res., vol. 77, no. 2, pp. 119 - 128,2000.

Paliwal, N. S. Visen, D. S. Jayas, and N. D. G. White, "Cereal grain and dockage identification using machine vision," Biosystems Engineering, vol. 85, no. I, pp. 51 - 57, 2003.

Luijten, "Basics of color based computer vision implemented in matlab," traineeship report, Technische Universiteit Eindhoven, June 2005.

Xia, Xu; Fan, Chao; Lu, Shu-Jie; Hou, Li-Long, The Analysis of Wheat Appearance Quality Based on Digital Image Processing, 2010 2nd Conference on Environmental Science and Information Application Technology.

Jinghui Li, Lingwang Gao , Zuorui Shen,Extraction and analysis of digital images feature of three kinds of wheat diseases, 2010 3rd International Congress on Image and Signal Processing (CISP2010).


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