4.6 Article

Vegetable Size Measurement Based on Stereo Camera and Keypoints Detection

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

A peduncle detection method of tomato for autonomous harvesting

Jiacheng Rong et al.

Summary: In this paper, a method is proposed for automated harvesting of greenhouse tomato bunches by localizing the cut points and estimating the poses of peduncles with high accuracy. The process involves real-time image detection using YOLOv4-Tiny, segmenting with YOLACT++, fitting the peduncle mask to a curve, and establishing a geometric model for pose estimation. The average errors of yaw and pitch angles in tests were 4.98 degrees and 4.75 degrees, respectively.

COMPLEX & INTELLIGENT SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

A survey and performance evaluation of deep learning methods for small object detection

Yang Liu et al.

Summary: This paper reviews deep learning methods for small object detection, discussing challenges, solutions, and techniques. Experimental results show that Faster R-CNN performs the best in detecting small objects.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Agriculture, Multidisciplinary

Multi-level feature fusion for fruit bearing branch keypoint detection

Qixin Sun et al.

Summary: This paper proposes a novel method for detecting branch keypoints in orchards, enabling branch pruning during fruit picking. By constructing a citrus bearing branch dataset, the proposed method achieves high performance with a smaller model size and lower computing power consumption, outperforming several state-of-the-art keypoint detection methods.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Computer Science, Artificial Intelligence

Deep Learning for Image Super-Resolution: A Survey

Zhihao Wang et al.

Summary: This article provides a comprehensive survey on recent advances of image super-resolution using deep learning approaches, categorizing existing studies into supervised, unsupervised, and domain-specific SR techniques, as well as covering benchmark datasets and evaluation metrics. Future directions and open issues in the field are also highlighted for further research.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

Article Robotics

Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping

Jan Weyler et al.

Summary: Precision management of agricultural fields and plant breeding are crucial for maintaining high yields and providing food, feed, and fiber for society. Analyzing plant growth state objectively at a large scale is important for breeding trials and targeted management actions. A novel single-stage object detection approach has been proposed to localize crops and weeds in the field and estimate leaf count at a plant level, showing superior performance compared to a state-of-the-art two-stage approach.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Article Agriculture, Multidisciplinary

Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features

Haiming Gan et al.

Summary: In this study, a novel method based on convolutional neural networks was developed to detect different types of social behaviors among preweaning piglets, achieving favorable detection performance in short and long video clips, demonstrating the feasibility of using CNNs for detecting piglet social behaviors.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Computer Science, Hardware & Architecture

Faster R-CNN for multi-class fruit detection using a robotic vision system

Shaohua Wan et al.

COMPUTER NETWORKS (2020)

Article Horticulture

Soft computing-based method for estimation of almond kernel mass from its shell features

Seyed-Hassan Miraei Ashtiani et al.

SCIENTIA HORTICULTURAE (2020)

Review Agriculture, Multidisciplinary

Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review

Longsheng Fu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Computer Science, Information Systems

An Evaluation of Deep Learning Methods for Small Object Detection

Nhat-Duy Nguyen et al.

JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (2020)

Article Food Science & Technology

Classification and weighing of sweet lime (Citrus limetta) for packaging using computer vision system

Vikas R. Phate et al.

JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION (2019)

Article Computer Science, Software Engineering

Dynamic Graph CNN for Learning on Point Clouds

Yue Wang et al.

ACM TRANSACTIONS ON GRAPHICS (2019)

Article Computer Science, Information Systems

An Improved Faster R-CNN for Small Object Detection

Changqing Cao et al.

IEEE ACCESS (2019)

Article Chemistry, Analytical

On-Tree Mango Fruit Size Estimation Using RGB-D Images

Zhenglin Wang et al.

SENSORS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Towards Accurate Multi-person Pose Estimation in the Wild

George Papandreou et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Chemistry, Analytical

DeepFruits: A Fruit Detection System Using Deep Neural Networks

Inkyu Sa et al.

SENSORS (2016)

Article Food Science & Technology

Estimation of Volume and Mass of Axi-Symmetric Fruits Using Image Processing Technique

G. Vivek Venkatesh et al.

INTERNATIONAL JOURNAL OF FOOD PROPERTIES (2015)