Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2008)
In-field wheat ears counting using color
J. Shawe-Taylor, N. Cristianini (2003)
Kernel Methods for Pattern Analysis
PC Robert (1999)
Precision agriculture ‘99
S. Roweis, L. Saul (2000)
Nonlinear dimensionality reduction by locally linear embedding.Science, 290 5500
D. Rumelhart, James McClelland (1986)
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
B. Scholkopf, C. Burges, Alex Smola (1999)
Advances in kernel methods: support vector learning
M. Niskanen, O. Silvén (2003)
Comparison of dimensionality reduction methods for wood surface inspection, 5132
R. Duda, P. Hart, D. Stork (2000)
Pattern classification, 2nd Edition
B. Scholkopf, Alex Smola, K. Müller (1998)
Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation, 10
P. Hart, R. Duda, D. Stork (1973)
Pattern Classification
JW Sammon (1969)
A nonlinear mapping for data analysisIEEE Transactions on Computers, C18
P. Slusallek, P. Shirley, W. Mark, Gordon Stoll, I. Wald (2005)
Parallel & distributed processingACM SIGGRAPH 2005 Courses
J-P Gauthier, G Bornard, M Silbermann (1991)
Harmonic analysis on motion groups and their homogeneous spacesIEEE Transactions on Systems, Man and Cybernetics, 21
J. Lee, A. Lendasse, M. Verleysen (2004)
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysisNeurocomputing, 57
J. Gauthier, G. Bornard, M. Silbermann (2004)
Harmonic Analysis : Motions and Pattern Analysis on Motion Groups and Their Homogeneous Spaces
Yuhai Wu (2021)
Statistical Learning TheoryTechnometrics, 41
Miteran, Gorría, Robert (1994)
4 - Classification géométrique par polytopes de contraintes. Performances et intégration
M. Belkin, P. Niyogi (2003)
Laplacian Eigenmaps for Dimensionality Reduction and Data RepresentationNeural Computation, 15
F. Camastra, A. Vinciarelli (2002)
Estimating the Intrinsic Dimension of Data with a Fractal-Based MethodIEEE Trans. Pattern Anal. Mach. Intell., 24
J Miteran, P Gorria, M Robert (1994)
Geometric classification by stress polytopes. Performances and integrationsTraitement du signal, 11
AR Backes, OM Bruno (2009)
Image analysis and processing—ICIAP
Sijthoff and Noordhoff
A. Backes, O. Bruno (2009)
Plant Leaf Identification Using Multi-scale Fractal Dimension
J. Kruskal (1964)
Nonmetric multidimensional scaling: A numerical methodPsychometrika, 29
F. Smach, Cédric Lemaitre, J. Gauthier, J. Mitéran, Mohamed Atri (2007)
Generalized Fourier Descriptors with Applications to Objects Recognition in SVM ContextJournal of Mathematical Imaging and Vision, 30
Jihun Ham, Daniel Lee, S. Mika, B. Scholkopf (2004)
A kernel view of the dimensionality reduction of manifoldsProceedings of the twenty-first international conference on Machine learning
S. Abe (1999)
Support Vector Machines for Pattern Classification
R. Shepard (1962)
The analysis of proximities: Multidimensional scaling with an unknown distance function. I.Psychometrika, 27
F Cointault, D Guérin, JP Guillemin, B Chopinet (2008)
In-field wheat ears counting using color-texture image analysisNew Zealand Journal of Crop and Horticultural Science, 36
L. Journaux, I. Foucherot, P. Gouton (2008)
Reduction of the number of spectral bands in LANDSAT images with projection methods: pertinence of the resulting information
P. Robert, J. Stafford (1999)
Precision Agriculture: research needs and status in the USA.
Heeyoul Choi, Seung-Lak Choi (2007)
Robust kernel IsomapPattern Recognit., 40
R. Schapire (1990)
The Strength of Weak LearnabilityMachine Learning, 5
C. Chen, L. Pau, P. Wang (1993)
Handbook of Pattern Recognition and Computer Vision
John Sinclair, Herbert Wiegand, Richard Allsopp, James Arthurs, Arthur Bronstein, Louise Dagenais, Robert London, Christian Kay, Johan Leiden, Franciscus Junius, B. Kipfer, Alan Kirkness, A. Cowie, Ton Broeders, Phil Hyams, Thomas Creamer, Takoma Park, N. Kharma, Hans-Peder Kromann, Theis Riiber, Poul Rosbach, E. Lovatt, J. Mdee, H. Niedzielski, Viggo Pedersen, Sandra Thompson (1992)
TABLE OF CONTENTS Preface
JA Lee, M Verleysen (2007)
Nonlinear dimensionality reduction
J. Tenenbaum, V. Silva, J. Langford (2000)
A global geometric framework for nonlinear dimensionality reduction.Science, 290 5500
(1991)
Harmonic analysis on motion groups and their
J. Kittler (1978)
Feature Set Search Alborithms
Minghe Xu (2006)
Survey on dimension reduction techniquesJournal of Computer Applications
E. Deza, M. Deza (2006)
Dictionary of distances
P. Tzionas (2005)
Plant leaves classification based on morphological features and a fuzzy surface selection technique
Aapo Hyvärinen (1999)
Fast and robust fixed-point algorithms for independent component analysisIEEE transactions on neural networks, 10 3
B. Hijazi, F. Cointault, F. Yang, M. Paindavoine (2008)
High-speed motion estimation of fertilizer granules with Gabor filters, 7126
J Ham, DD Lee, S Mika, B Schölkopf (2004)
Twenty first international conference on machine learning
M Niskanen, O Silven (2003)
Proceeding of the 6th international conference on quality control by artificial vision
P Brodatz (1966)
Textures: A photographic album for artists and designers
Gordon Hughes (1968)
On the mean accuracy of statistical pattern recognizersIEEE Trans. Inf. Theory, 14
P. Comon (1994)
Independent component analysis, A new concept?Signal Process., 36
W. Forster, M. Kimberley, J. Zabkiewicz (2005)
A UNIVERSAL SPRAY DROPLET ADHESION MODELTransactions of the ASABE, 48
F. Cointault, D. Guerin, J. Guillemin, B. Chopinet (2008)
In‐field Triticum aestivum ear counting using colour‐texture image analysisNew Zealand Journal of Crop and Horticultural Science, 36
P. Demartines, J. Hérault (1997)
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data setsIEEE transactions on neural networks, 8 1
L. Journaux, I. Foucherot, P. Gouton (2006)
Reduction of the number of spectral bands in Landsat images: a comparison of linear and nonlinear methodsOptical Engineering, 45
(1994)
Geometric classification by stress polytopes
Stephen Wu, F. Bao, E. Xu, Yuxuan Wang, Yi-Fan Chang, Qiao-Liang Xiang (2007)
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network2007 IEEE International Symposium on Signal Processing and Information Technology
S. Villette, F. Cointault, E. Piron, B. Chopinet, M. Paindavoine (2008)
Simple imaging system to measure velocity and improve the quality of fertilizer spreading in agricultureJ. Electronic Imaging, 17
Zhizhen Liang, David Zhang, P. Shi (2006)
Robust kernel discriminant analysis and its application to feature extraction and recognitionNeurocomputing, 69
A. Belouchrani, K. Abed-Meraim, J. Cardoso, É. Moulines (1997)
A blind source separation technique using second-order statisticsIEEE Trans. Signal Process., 45
T. Halpin, T. Morgan, J. Celko, Business Metadata, Bill Inmon, Lowell Fryman, G. Vossen, S. Hagemann, D. Loshin, P. Harmon, Brian Jaffe, C. Betz, M. Refaat, S. Ceri, P. Fraternali, Aldo Bongio, M. Brambilla, S. Comai, M. Matera, Soumen Chakrabarti, Troubleshooting Techniques, D. Shasha, Philippe Bonnet, Jim Melton, A. Simon, U. Fayyad, G. Grinstein, Andreas Wierse, A. Elmagarmid, A. Sheth, M. Stonebraker, P. Brown, Dorothy Moore, M. Saracco, V. Subrahmanian, Clement Yu, W. Meng, C. Zaniolo, S. Ceri, C. Faloutsos, R. Snodgrass, R. Zicari (1999)
The Morgan Kaufmann Series in Data Management Systems
J. Sammon (1969)
A Nonlinear Mapping for Data Structure AnalysisIEEE Transactions on Computers, C-18
Yun Zhang, Yong He (2006)
Crop/weed discrimination using near-infrared reflectance spectroscopy (NIRS), 6047
JH Friedman, JW Tukey (1974)
A projection pursuit algorithm for exploratory data analysisIEEE Transactions on computers, C23
C. Bishop (1995)
Neural networks for pattern recognition
R. Shepard (1962)
The analysis of proximities: Multidimensional scaling with an unknown distance function. IIPsychometrika, 27
(2010)
Remote sensing tutorial
I. Witten, E. Frank (2005)
Data mining - practical machine learning tools and techniques, Second Edition
D. Lamb, Ralph Brown (2001)
PA—Precision Agriculture: Remote-Sensing and Mapping of Weeds in CropsJournal of Agricultural Engineering Research, 78
In the context of plant leaf roughness analysis for precision spraying, this study explores the capability and the performance of some combinations of pattern recognition and computer vision techniques to extract the roughness feature. The techniques merge feature extraction, linear and nonlinear dimensionality reduction techniques, and several kinds of methods of classification. The performance of the methods is evaluated and compared in terms of the error of classification. The results for the characterization of leaf roughness by generalized Fourier descriptors for feature extraction, kernel-based methods such as support vector machines for classification and kernel discriminant analysis for dimensionality reduction were encouraging. These results pave the way to a better understanding of the adhesion mechanisms of droplets on leaves that will help to reduce and improve the application of phytosanitary products and lead to possible modifications of sprayer configurations.
Precision Agriculture – Springer Journals
Published: Dec 14, 2010
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.