ArticleSensors (Basel, Switzerland)2021
Pig Weight and Body Size Estimation Using a Multiple Output Regression Convolutional Neural Network: A Fast and Fully Automatic Method.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A Novel Method for Estimating the Body Weight and Size of Sows Using 3D Point Cloud.Animals : an open access journal from MDPI · 2025Article
- Design and Verification of a Non-Contact Body Dimension Measurement System for Jiangquan Black Pigs Based on Dual-View Depth Vision.Animals : an open access journal from MDPI · 2025Article
- A Novel Approach of Pig Weight Estimation Using High-Precision Segmentation and 2D Image Feature Extraction.Animals : an open access journal from MDPI · 2025Article
- A Novel Dual-Network Approach for Real-Time Liveweight Estimation in Precision Livestock Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Estimation of Sow Backfat Thickness Based on Machine Vision.Animals : an open access journal from MDPI · 2024Article
- Multi-View Fusion-Based Automated Full-Posture Cattle Body Size Measurement.Animals : an open access journal from MDPI · 2024Article
- A Review of Visual Estimation Research on Live Pig Weight.Sensors (Basel, Switzerland) · 2024Review
- Pig Weight Estimation Method Based on a Framework Combining Mask R-CNN and Ensemble Regression Model.Animals : an open access journal from MDPI · 2024Article
- Improving Efficiency: Automatic Intelligent Weighing System as a Replacement for Manual Pig Weighing.Animals : an open access journal from MDPI · 2024Article
- Estimation of Weight and Body Measurement Model for Pigs Based on Back Point Cloud Data.Animals : an open access journal from MDPI · 2024Article
- Towards automatic farrowing monitoring-A Noisy Student approach for improving detection performance of newborn piglets.PloS one · 2024Article
- A Method for Obtaining 3D Point Cloud Data by Combining 2D Image Segmentation and Depth Information of Pigs.Animals : an open access journal from MDPI · 2023Article
- Individual Pig Identification Using Back Surface Point Clouds in 3D Vision.Sensors (Basel, Switzerland) · 2023Article
- A Pig Mass Estimation Model Based on Deep Learning without Constraint.Animals : an open access journal from MDPI · 2023Article
- HRST: An Improved HRNet for Detecting Joint Points of Pigs.Sensors (Basel, Switzerland) · 2022Article
- Accuracy of image analysis for linear zoometric measurements in dromedary camels.Tropical animal health and production · 2022Article
- Identification of Body Size Determination Related Candidate Genes in Domestic Pig Using Genome-Wide Selection Signal Analysis.Animals : an open access journal from MDPI · 2022Article
- Identification of body size characteristic points based on the Mask R-CNN and correlation with body weight in Ujumqin sheep.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Pig weight and body size are important indicators for producers. Due to the increasing scale of pig farms, it is increasingly difficult for farmers to quickly and automatically obtain pig weight and body size. Due to this problem, we focused on a multiple output regression convolutional neural network (CNN) to estimate pig weight and body size. DenseNet201, ResNet152 V2, Xception and MobileNet V2 were modified into multiple output regression CNNs and trained on modeling data. By comparing the estimated performance of each model on test data, modified Xception was selected as the optimal estimation model. Based on pig height, body shape, and contour, the mean absolute error (MAE) of the model to estimate body weight (BW), shoulder width (SW), shoulder height (SH), hip width (HW), hip width (HH), and body length (BL) were 1.16 kg, 0.33 cm, 1.23 cm, 0.38 cm, 0.66 cm, and 0.75 cm, respectively. The coefficient of determination (R
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Registered trials
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