Instituto de Tecnología del Conocimiento (ITC)
Centro/Instituto
Alberto
Tellaeche Iglesias
Publicaciones en las que colabora con Alberto Tellaeche Iglesias (12)
2011
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A computer vision approach for weeds identification through Support Vector Machines
Applied Soft Computing Journal, Vol. 11, Núm. 1, pp. 908-915
2010
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Analysis of natural images processing for the extraction of agricultural elements
Image and Vision Computing, Vol. 28, Núm. 1, pp. 138-149
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On combining vision-based hybrid classifiers for weeds detection in precision agriculture
International Journal of Reasoning-based Intelligent Systems, Vol. 2, Núm. 2, pp. 100-109
2009
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Improving weed pressure assessment using digital images from an experience-based reasoning approach
Computers and Electronics in Agriculture, Vol. 65, Núm. 2, pp. 176-185
2008
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A new vision-based approach to differential spraying in precision agriculture
Computers and Electronics in Agriculture, Vol. 60, Núm. 2, pp. 144-155
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A vision-based method for weeds identification through the Bayesian decision theory
Pattern Recognition, Vol. 41, Núm. 2, pp. 521-530
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Optimisation of natural images processing using different evolutionary algorithms
2008 IEEE Congress on Evolutionary Computation, CEC 2008
2007
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A vision-based classifier in precision agriculture combining Bayes and support vector machines
2007 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, CONFERENCE PROCEEDINGS BOOK
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A vision-based classifier in precision agriculture combining bayes and support vector machines
2007 IEEE International Symposium on Intelligent Signal Processing, WISP
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A vision-based hybrid classifier for weeds detection in precision agriculture through the Bayesian and Fuzzy k-Means paradigms
INNOVATIONS IN HYBRID INTELLIGENT SYSTEMS
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A vision-based hybrid classifier for weeds detection in precision agriculture through the bayesian and fuzzy k-Means paradigms
Advances in Soft Computing
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Design of a computer vision system for a differential spraying operation in precision agriculture using Hebbian learning
IET Computer Vision, Vol. 1, Núm. 3-4, pp. 93-99