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Enhancing Pig Body Weight Prediction: A Machine Learning Approach with Point Cloud Attribute Extraction Method

https://doi.org/10.2139/ssrn.4772623
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inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-extracted
Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/j.atech.2022.100117openalex-extracted
Estimating body weight in conventional growing pigs using a depth camera
inferredcites →https://doi.org/10.1016/j.biosystemseng.2018.03.002openalex-extracted
Evaluation of a depth sensor for mass estimation of growing and finishing pigs
inferredcites →https://doi.org/10.1016/j.biosystemseng.2022.03.014openalex-extracted
Body size measurement and live body weight estimation for pigs based on back surface point clouds
inferredcites →https://doi.org/10.1016/j.biosystemseng.2022.10.002openalex-extracted
Automated detection and quantification of contact behaviour in pigs using deep learning
inferredcites →https://doi.org/10.1016/j.psj.2021.101072openalex-extracted
Weight and volume estimation of poultry and products based on computer vision systems: a review
inferredcites →https://doi.org/10.1093/jas/skaa250openalex-extracted
Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00868openalex-extracted
Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection
inferredcites →https://doi.org/10.1109/tkde.2021.3079836openalex-extracted
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
inferredcites →https://doi.org/10.1145/174462.156635openalex-extracted
Three-dimensional alpha shapes
inferredcites →https://doi.org/10.3390/ani12091152openalex-extracted
A Comparative Study of Machine Learning Methods for Predicting Live Weight of Duroc, Landrace, and Yorkshire Pigs
inferredcites →https://doi.org/10.3390/s22197378openalex-extracted
An Experimental Assessment of Depth Estimation in Transparent and Translucent Scenes for Intel RealSense D415, SR305 and L515
inferredcites →https://doi.org/10.5194/egusphere-egu22-706openalex-extracted
A non-destructive approach to estimate buttress volume using 3D point cloud data
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