ArticleFrontiers in genetics2022
Supervised learning techniques for dairy cattle body weight prediction from 3D digital images.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Computer Vision for Cattle Health and Welfare Monitoring: A Comprehensive Review of Methods, Applications, and Interdisciplinary Integration in Smart Agriculture.Sensors (Basel, Switzerland) · 2026Review
- Recent Advances in Vision-Based Beef Cattle Body Measurement Technologies.Animals : an open access journal from MDPI · 2026Review
- - Invited Review - Advancing precision livestock farming: integrating artificial intelligence and emerging technologies for sustainable livestock management.Animal bioscience · 2026Article
- Heart Girth as a Predictor of Body Weight in Lactating Cows.Animals : an open access journal from MDPI · 2026Article
- Morphological and morphometric comparison and digital classification of Guaymi and Guabala cattle breeds using machine learning.Open veterinary journal · 2026Article
- The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review.Animals : an open access journal from MDPI · 2025Review
- Artificial intelligence for livestock: a narrative review of the applications of computer vision systems and large language models for animal farming.Animal frontiers : the review magazine of animal agriculture · 2024Article
- Computer vision algorithms to help decision-making in cattle production.Animal frontiers : the review magazine of animal agriculture · 2024Article
- Cattle Body Size Measurement Based on DUOS-PointNet+.Animals : an open access journal from MDPI · 2024Article
- Body weight prediction of Belgian Blue crossbred using random forest.Journal of advanced veterinary and animal research · 2024Article
- Prediction of body condition in Jersey dairy cattle from 3D-images using machine learning techniques.Journal of animal science · 2023Article
- Prediction of Enteric Methane-Related Traits From Body Weight and Milk Composition Traits, Including Ratios of De Novo, Mixed, and Preformed Fatty Acids in Holstein Cows.Animal science journal = Nihon chikusan GakkaihoArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.