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A computer vision approach for weeds identification through Support Vector Machines.

, , , and . Appl. Soft Comput., 11 (1): 908-915 (2011)

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Support Vector Machines for crop/weeds identification in maize fields., , , , and . Expert Syst. Appl., 39 (12): 11149-11155 (2012)A new Expert System for greenness identification in agricultural images., , , , , and . Expert Syst. Appl., 40 (6): 2275-2286 (2013)Sensors in Collaboration Increase Individual Potentialities.. Sensors, 12 (4): 4892-4896 (2012)An Image Segmentation Based on a Genetic Algorithm for Determining Soil Coverage by Crop Residues., , , , , and . Sensors, 11 (6): 6480-6492 (2011)Fuzzy Cognitive Maps for stereovision matching., and . Pattern Recognit., 39 (11): 2101-2114 (2006)An instance-based learning approach for thresholding in crop images under different outdoor conditions., , and . Comput. Electron. Agric., (2016)New unsupervised hybrid classifier based on the fuzzy integral: applied to natural textured images., , , , and . IET Comput. Vis., 7 (4): 272-278 (2013)A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments., , , , and . Sensors, 11 (2): 1756-1783 (2011)Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm., , , , , and . Expert Syst. Appl., (2017)Robust Super-Resolution Using a Median Filter for Irregular Samples., and . IbPRIA, volume 5524 of Lecture Notes in Computer Science, page 298-305. Springer, (2009)