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IMAGE PROCESSING METHOD TO MEASURE SUGARCANE LEAF AREA

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Author(s): Sanjay B. Patil | Dr. Shrikant K. Bodhe

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 8;
Start page: 6394;
Date: 2011;
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Keywords: Digital Photograph | Image processing | Leaf are | Matlab | Sugarcane leaf.

ABSTRACT
In order to increase the average sugarcane yield per acres with minimum cost farmers are adapting precision farming technique. This paper includes the area measurement of sugarcane leaf based on image processing method which is useful for plants growth monitoring, to analyze fertilizer deficiency and environmental stress,to measure diseases severity. In image processing method leaf area is calculated through pixel number statistic. Unit pixel in the same digital images represent the same size hence from known reference area and pixel count, unit pixel size can calculate, so that it is easy to calculate leaf area by counting total pixel in leaf area region. The results are compared with the results of graphical area measurement method. The experimentally it is proved that image processing method for measuring sugarcane leaf area is accurate and strong practicabilitywith small relative error.
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