Identification and Location Method of Cherry Tomato Picking Point Based on Si-YOLO
Author:
Affiliation:
1. Beijing Information Science and Technology University,Beijing,China,100092
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256630.pdf?arnumber=10256630
Reference20 articles.
1. Deformable convolutional networks - COCO detection and segmentation challenge 2017 entry;qi;ICCV COCO Challenge Workshop,0
2. Tomato recognition and location algorithm based on improved YOLOv5;li;Computers and Electronics in Agriculture,2022
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4. GAN: Actual combat Generative Adversarial Network;ganguly;Deformable convolutional networks,2018
5. Automatic Recognition of Ripening Tomatoes by Combining Multi-Feature Fusion with a Bi-Layer Classification Strategy for Harvesting Robots
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1. YOLOv8n-DDA-SAM: Accurate Cutting-Point Estimation for Robotic Cherry-Tomato Harvesting;Agriculture;2024-06-26
2. Robotics in greenhouses. Scoping review;Computers and Electronics in Agriculture;2024-04
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