Plant Leaf Position Estimation with Computer Vision

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 20; p. 5933
• Main Authors: Beadle, James, Taylor, C. James, Ashworth, Kirsti, Cheneler, David
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 20.10.2020; MDPI
• Subjects: Algorithms; Computer vision; Computers; depth estimation; Digital cameras; Measurement techniques; neural network; Neural networks; parallax; Plant Leaves; Plants; position estimation; Robotics; Robots; Sensors; Software; United Kingdom > UK; position estimation; parallax; neural network; computer vision; depth estimation

Autonomous analysis of plants, such as for phenotyping and health monitoring etc., often requires the reliable identification and localization of single leaves, a task complicated by their complex and variable shape. Robotic sensor platforms commonly use depth sensors that rely on either infrared li...