Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

• Published in: Computers and electronics in agriculture Vol. 163; p. 104846
• Main Authors: Yu, Yang, Zhang, Kailiang, Yang, Li, Zhang, Dongxing
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.08.2019; Elsevier BV
• Subjects: Artificial neural networks; computer vision; Feature extraction; Feature maps; Fruit detection; Fruits; harvesting; Image detection; Image segmentation; Instance segmentation; lighting; Localization method; Machine learning; Machine vision; Mask-RCNN; Non-structural environment; Object recognition; Performance enhancement; Picking point; prediction; Robots; Strawberries; Instance segmentation; Mask-RCNN; Fruit detection; Picking point; Non-structural environment

•Proposed a strawberry fruit detection algorithm based on Mask R-CNN (MRSD), which has overcome the difficulties of poor universality and robustness using traditional machine vision algorithms in non-structural environment.•ResNet-50, combined with the FPN architecture for feature extraction, had th...