CITRUS RECOGNITION IN REAL SCENARIOS BASED ON MACHINE VISION
Abstract
At present, citrus is mainly harvested manually with low efficiency and high cost, thereby resulting in an imminent demand for fruit-harvesting robot. Hence, recognizing and locating citrus from complex backgrounds using machine vision technology is the premise and a key technology for robots to harvest them. To accurately and immediately recognize mature citrus, this study proposes a novel method based on the Otsu adaptive threshold method and...
Paper Details
Title
CITRUS RECOGNITION IN REAL SCENARIOS BASED ON MACHINE VISION
Published Date
Jan 1, 2020
Journal
Volume
95
Issue
1
Pages
87 - 93
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