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A computer vision approach based on endocarp features for the identification of olive cultivars.

, , , , and . Comput. Electron. Agric., (2018)

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A computer vision approach based on endocarp features for the identification of olive cultivars., , , , and . Comput. Electron. Agric., (2018)Standards for the Integration of Online Laboratories With Learning Management Systems., , , and . IEEE Access, (2023)Fuzzy controller for the high-accuracy automatic assembly of vehicle headlamps., , , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Prediction of Fruity Aroma Intensity and Defect Presence in Virgin Olive Oil Using an Electronic Nose., , , , , and . Sensors, 21 (7): 2298 (2021)A machine vision system for defect characterization on transparent parts with non-plane surfaces., , , and . Mach. Vis. Appl., 23 (1): 1-13 (2012)A Dynamic Lighting System for Automated Visual Inspection of Headlamp Lenses., , , and . ETFA, page 1-4. IEEE, (2009)An adaptable vision system for the automatic inspection of surface defects in automotive headlamp lenses., , , and . CASE, page 157-162. IEEE, (2011)A Methodology to Obtain Learning Effective Laboratories with Learning Management System Integration., , , and . IEEE Trans. Learn. Technol., 9 (4): 391-399 (2016)Fast and Reliable Determination of Virgin Olive Oil Quality by Fruit Inspection Using Computer Vision., , , , and . Sensors, 18 (11): 3826 (2018)Fuzzy Decision Support System for the Determination of the Set Points of Relevant Variables in the Virgin Olive Oil Elaboration Process., , , and . SMC, page 3489-3494. IEEE, (2013)