Manual leaf area estimation is a slow and tiresome process and it is also subjective and inaccurate. A new method is presented in this paper to make this process easier, user friendly and accurate. This paper proposes a new automatic and easy method for leaf area estimation based on digital images of leaves. Researchers can use this method very easily. A standard five rupee coin is used as a reference object to calculate the leaf area. Forty five leaves each of three pulses (i.e. Green Gram, Black gram and Pigeon Pea) have been taken for this study. The Results of our method are comparable to the results of grid paper method. Average accuracy of our method is approximately 97%. Results show that the proposed method is more accurate and user friendly.
[1]
A. Brar,et al.
Design and Development of Software for the Implementation of Image Processing Approach for Leaf Area Measurement
,
2014
.
[2]
Prediction of leaf area in some Iranian table grape ( Vitis vinifera L . ) cuttings by a non-destructive and simple method
,
2011
.
[3]
Pierre Soille,et al.
Morphological Image Analysis: Principles and Applications
,
2003
.
[4]
N. Otsu.
A threshold selection method from gray level histograms
,
1979
.
[5]
Oge Marques,et al.
Practical Image and Video Processing Using MATLAB®: Marques/Practical Image Processing
,
2011
.
[6]
Changying Ji,et al.
Leaf Area Calculating Based on Digital Image
,
2007,
CCTA.