Research on Laying Hens Feeding Behavior Detection and Model Visualization Based on Convolutional Neural Network
出版年份 2022 全文链接
标题
Research on Laying Hens Feeding Behavior Detection and Model Visualization Based on Convolutional Neural Network
作者
关键词
-
出版物
Agriculture-Basel
Volume 12, Issue 12, Pages 2141
出版商
MDPI AG
发表日期
2022-12-13
DOI
10.3390/agriculture12122141
参考文献
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。- Pose estimation-based lameness recognition in broiler using CNN-LSTM network
- (2022) Amin Nasiri et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- ChickenNet - an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision
- (2022) Christian Lamping et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Application of deep learning in sheep behaviors recognition and influence analysis of training data characteristics on the recognition effect
- (2022) Man Cheng et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Visual detection on posture transformation characteristics of sows in late gestation based on Libra R-CNN
- (2022) Longshen Liu et al. BIOSYSTEMS ENGINEERING
- An Attention Mechanism-Improved YOLOv7 Object Detection Algorithm for Hemp Duck Count Estimation
- (2022) Kailin Jiang et al. Agriculture-Basel
- A defencing algorithm based on deep learning improves the detection accuracy of caged chickens
- (2022) Jikang Yang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Classification of broiler behaviours using triaxial accelerometer and machine learning
- (2021) X. Yang et al. Animal
- Unrest index for estimating thermal comfort of poultry birds (Gallus gallus domesticus) using computer vision techniques
- (2021) José Eduardo Del Valle et al. BIOSYSTEMS ENGINEERING
- A machine vision system to detect and count laying hens in battery cages
- (2020) O. Geffen et al. Animal
- Cluster index for estimating thermal poultry stress (gallus gallus domesticus)
- (2020) Danilo Florentino Pereira et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Pose estimation and behavior classification of broiler chickens based on deep neural networks
- (2020) Cheng Fang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Segmentation of body parts of cows in RGB-depth images based on template matching
- (2020) Nan Jia et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming
- (2019) Yongliang Qiao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Real-time behavior detection and judgment of egg breeders based on YOLO v3
- (2019) Juan Wang et al. NEURAL COMPUTING & APPLICATIONS
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A real-time monitoring tool to automatically measure the feed intakes of multiple broiler chickens by sound analysis
- (2015) A. Aydin et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now