M. Ye, Z. Cao, and Z. Yu, Crop feature extraction from images with probabilistic superpixel Markov random field, Computers and Electronics in Agriculture, pp.247-260, 2015.
DOI : 10.1016/j.compag.2015.04.010

T. P. Pachidis, I. T. Sarafis, and I. N. Lygouras, Real time feature extraction and Standard Cutting Models fitting in grape leaves, Computers and Electronics in Agriculture, vol.74, issue.2, pp.293-304, 2010.
DOI : 10.1016/j.compag.2010.09.004

T. P. Trooien and D. F. Heermann, Measurement and Simulation of Potato Leaf Area Using Image Processing.I.Model Development Information and Electrical Technologies Div, ASAE, issue.5, pp.35-1709, 1992.

C. F. Chien and T. T. Lin, Non-Destructive Growth Measurement of Selected Vegetable Seedings Using Orthogonal Images [J]. Information & Electrical Technologies Division of ASABE, pp.48-1953, 2005.

I. Leinonen and H. G. Jones, Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress, Journal of Experimental Botany, vol.55, issue.401, pp.1423-1431, 2004.
DOI : 10.1093/jxb/erh146

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.490.792

M. Meron, M. Sprintsin, J. Tsipris, and V. Alchanatis, Foliage temperature extraction from thermal imagery for crop water stress determination, Precision Agriculture, vol.2, issue.4, pp.467-477, 2013.
DOI : 10.5194/adgeo-18-15-2008

S. Phadikaer, J. Sil, and A. Kumar-das, Rice diseases classification using feature selection and rule generation techniques, Computers and Electronics in Agriculture, pp.76-85, 2013.
DOI : 10.1016/j.compag.2012.11.001

J. Neto, G. E. Meyer, and D. D. Jones, Individual leaf extractions from young canopy images using Gustafson???Kessel clustering and a genetic algorithm, Computers and Electronics in Agriculture, pp.66-85, 2006.
DOI : 10.1016/j.compag.2005.11.002

W. S. Lee and D. C. Slaughter, Recognition of Partially Occluded Plant Leaves Using a Modified Watershed Algorithm Information and Electrical Technologies Division of ASAE, pp.1269-1280, 2004.

P. J. Peper and E. G. Mcpherson, Evaluation of four methods for estimating leaf area of isolated trees, Urban Forestry & Urban Greening, vol.2, issue.1, pp.19-029, 2003.
DOI : 10.1078/1618-8667-00020

K. R. Thorp and D. A. Dierig, Color image segmentation approach to monitor flowering in lesquerella, Industrial Crops and Products, vol.34, issue.1, pp.1150-1159, 2011.
DOI : 10.1016/j.indcrop.2011.04.002

C. Xia, J. Lee, and Y. Li, Plant leaf detection using modified active shape models, Biosystems Engineering, vol.116, issue.1, pp.23-25, 2013.
DOI : 10.1016/j.biosystemseng.2013.06.003

A. R. Kavitha and C. Chellamuthu, Implementation of gray-level clustering algorithm for image segmentation, Procedia Computer Science, vol.2, pp.314-320, 2010.
DOI : 10.1016/j.procs.2010.11.041

G. Yang and F. Xu, Research and analysis of Image edge detection algorithm Based on the MATLAB, Procedia Engineering, pp.1313-1318, 2011.
DOI : 10.1016/j.proeng.2011.08.243

T. Asano, N. Katoh, and T. Tokuyama, A unified scheme for detecting fundamental curves in binary edge images, Computational Geometry, vol.18, issue.2, pp.73-93, 2001.
DOI : 10.1016/S0925-7721(01)00002-5

Y. Yu and C. Chang, A new edge detection approach based on image context analysis, Image and Vision Computing, vol.24, issue.10, pp.1090-1102, 2006.
DOI : 10.1016/j.imavis.2006.03.006

L. Han, W. Ku, and B. Haoyi, Cotton leaf image edge detection using Mean-shift algorithm and lifting wavelet transform [J]. Transactions of the CSAE, pp.26-182

F. Meyer, Topographic distance and watershed lines, Signal Processing, pp.113-125, 1994.
DOI : 10.1016/0165-1684(94)90060-4

L. Curt, . Orbert, W. Ewert, . Bengtsson, G. Bo et al., Watershed segmentation of binary images using distance transformations, Nonlinear Image Processing IV, pp.159-170, 1902.