☆ 4.7 Article

Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion

ANIMALS (2023)

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。

Review Agriculture, Dairy & Animal Science

Precision Livestock Farming: What Does It Contain and What Are the Perspectives?

Joachim Lubbo Kleen et al.

Summary: Digital tools are increasingly important in livestock farming, particularly in dairy cattle husbandry. Precision Livestock Farming (PLF) combines sensors, algorithms, and interfaces to optimize animal production, health, and welfare. While some PLF systems are already widely used, others are still waiting for practical application. Scientific evidence on the effectiveness of PLF is currently limited.

ANIMALS (2023)

添加到收藏夹

Article Veterinary Sciences

Gastrointestinal Parasites of Domestic Mammalian Hosts in Southeastern Iran

Kareem Hatam-Nahavandi et al.

Summary: This study investigated the prevalence of intestinal parasites in livestock in Iranshahr County, Southeastern Iran. Most animals studied were infected with at least one species of intestinal parasite. It is important to conduct parasitological monitoring in livestock and take preventive measures to prevent the spread of parasites to humans.

VETERINARY SCIENCES (2023)

添加到收藏夹

Article Robotics

Sheep face recognition and classification based on an improved MobilenetV2 neural network

Yue Pang et al.

Summary: A noncontact facial recognition technique was proposed to identify and track sheep using video cameras and key frame extraction algorithms. A modified convolutional neural network framework, O-MobilenetV2, was developed to improve feature extraction efficiency. The proposed model achieved a high accuracy rate of 95.88% in identifying individual sheep based on facial features, making it a viable strategy for sheep facial recognition and tracking.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2023)

添加到收藏夹

Article Agriculture, Multidisciplinary

Biometric identification of sheep via a machine-vision system

Almog Hitelman et al.

Summary: This paper presents a sheep biometric identification system based on facial images. The system utilizes machine vision and deep learning models for animal identification, including face detection and classification. Through the application of deep learning object detection algorithm, different classification models, and transfer learning methods, the system achieves high identification accuracy.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

添加到收藏夹

Article Agriculture, Multidisciplinary

Cattle face recognition based on a Two-Branch convolutional neural network

Zhi Weng et al.

Summary: A cattle face recognition model based on a two-branch convolutional neural network is proposed in this paper, which achieves high recognition accuracy of cattle faces through image inputs from different angles, feature fusion, and the use of global average pooling layer.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Zewen Li et al.

Summary: This review provides insights into the development history of CNN, a overview of various convolutions, introduction to classic and advanced CNN models, conclusions drawn from experimental analysis, rules of thumb for function and hyperparameter selection, and applications of 1-D, 2-D, and multidimensional convolutions. Moreover, it also discusses open issues and promising directions for CNN as guidelines for future work.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Article Agronomy

When Mobilenetv2 Meets Transformer: A Balanced Sheep Face Recognition Model

Xiaopeng Li et al.

Summary: This paper proposes a balanced sheep face recognition model called MobileViTFace by combining Mobilenetv2 with Vision Transformer. MobileViTFace enhances the model's ability to extract fine-grained features and suppress the interference of background information, achieving more effective differentiation of different sheep faces. Compared to other models, MobileViTFace achieves a 9.79% improvement in recognition accuracy, while reducing the number of parameters and floating-point operations.

AGRICULTURE-BASEL (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Open Set Sheep Face Recognition Based on Euclidean Space Metric

Hongcheng Xue et al.

Summary: This paper proposes a non-contact sheep identity recognition method based on sheep face images and tests its effectiveness on the newly introduced SheepBase dataset. The experimental results show that the method has a high recognition accuracy of 89.12%.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A comprehensive study of class incremental learning algorithms for visual tasks

Eden Belouadah et al.

Summary: The paper investigates the open challenge of enhancing the capabilities of artificial agents when dealing with new data in artificial intelligence, focusing on two types of approaches to address catastrophic forgetting. The study shows that existing algorithms exhibit significant differences in performance under different evaluation settings, particularly in terms of whether a bounded memory of past classes is allowed.

NEURAL NETWORKS (2021)

添加到收藏夹

Article Agriculture, Multidisciplinary

An adaptive pig face recognition approach using Convolutional Neural Networks

Mathieu Marsot et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

添加到收藏夹

Article Agriculture, Multidisciplinary

Evaluation of pre-processing methods for the prediction of cattle behaviour from accelerometer data

L. Riaboff et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

添加到收藏夹

Article Computer Science, Information Systems

Sheep Identification Using a Hybrid Deep Learning and Bayesian Optimization Approach

Aya Salama et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Towards on-farm pig face recognition using convolutional neural networks

Mark E. Hansen et al.

COMPUTERS IN INDUSTRY (2018)

添加到收藏夹

Article Geochemistry & Geophysics

Multisource Remote Sensing Data Classification Based on Convolutional Neural Network

Xiaodong Xu et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

添加到收藏夹

Review Food Science & Technology

Traceability technologies for farm animals and their products in China

Hongwu Bai et al.

FOOD CONTROL (2017)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

The use of infrared thermography for welfare assessment during the application of ear tags to lambs

Murat Karakus et al.

ARCHIVES ANIMAL BREEDING (2017)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

Description and typology of intensive Chios dairy sheep farms in Greece

A. I. Gelasakis et al.

JOURNAL OF DAIRY SCIENCE (2012)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

Improving sheep production and welfare in extensive systems through precision sheep management

Jessica E. Morris et al.

ANIMAL PRODUCTION SCIENCE (2012)

添加到收藏夹

Article Agriculture, Multidisciplinary

The role of RFID in agriculture: Applications, limitations and challenges

Luis Ruiz-Garcia et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)

添加到收藏夹

Article Agriculture, Multidisciplinary

Application of RFID technology using passive HF transponders for the individual identification of weaned piglets at the feed trough

Kerstin Reiners et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2009)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

The identification of Japanese black cattle by their faces

HT Kim et al.

ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES (2005)

添加到收藏夹

Article Engineering, Electrical & Electronic

Biometric identification systems

R de Luis-García et al.

SIGNAL PROCESSING (2003)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.