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Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems

Frontiers in genetics, 2020-08, Vol.11, p.923-923

2020

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Using pseudo-labeling to improve performance of deep neural networks for animal identification

Scientific reports, 2023-08, Vol.13 (1), p.13875-13875, Article 13875

2023

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Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers

BMC genomics, 2020-11, Vol.21 (1), p.771-771, Article 771

2020

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Longitudinal analysis of bovine mammary gland development

Journal of mammary gland biology and neoplasia, 2023-12, Vol.28 (1), p.11-11

2023

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Adoption of Precision Technologies by Brazilian Dairy Farms: The Farmer's Perception

Animals (Basel), 2021-12, Vol.11 (12), p.3488

2021

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Ultrasound‐assisted minimally invasive technique for tissue collection from bovine mammary glands

Veterinary medicine and science, 2024-11, Vol.10 (6), p.e70027-n/a

2024

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Predicting ribeye area and circularity in live calves through 3D image analyses of body surface

Journal of animal science, 2022-09, Vol.100 (9)

2022

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Impact of Stationary Brush Quantity on Brush Use in Group-Housed Dairy Heifers

Animals (Basel), 2022-04, Vol.12 (8), p.972

2022

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A novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision

Journal of animal science, 2019-01, Vol.97 (1), p.496-508

2019

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Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms

Computers and electronics in agriculture, 2022-10, Vol.201 (C), p.107272, Article 107272

2022

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PSXI-2 A computer vision system for feed bunk management in beef cattle feedlot

Journal of animal science, 2019-12, Vol.97 (Supplement_3), p.389-390

2019

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Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images

Journal of animal science, 2020-08, Vol.98 (8)

2020

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205 Detection of anemic sheep using ocular conjunctiva images and deep learning technology

Journal of animal science, 2024-05, Vol.102 (Supplement_2), p.1-2

2024

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Predicting respiration rate in unrestrained dairy cows using image analysis and fast Fourier transform

JDS communications, 2024-07, Vol.5 (4), p.310-316

2024

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Beef cattle responses to pre-grazing sward height and low level of energy supplementation on tropical pastures

Journal of animal science, 2020-06, Vol.98 (6), p.1-11

2020

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Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle

Journal of animal science, 2019-01, Vol.97 (1), p.456-471

2019

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227 Leveraging on high-throughput phenotyping technologies to optimize livestock genetic improvement and husbandry

Journal of animal science, 2019-12, Vol.97 (Supplement_3), p.55-55

2019

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PSXIII-16 Comparison of models for prediction of pig body weight using features from an autonomous 3D computer vision system

Journal of animal science, 2019-12, Vol.97 (Supplement_3), p.475-476

2019

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Leveraging on high-throughput phenotyping technologies to optimize livestock genetic improvement and husbandry

Journal of animal science, 2019-12, Vol.97, p.55-55

2019

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248 Application of computer vision and data analytics strategies for prediction of carcass composition in live pigs

Journal of animal science, 2020-11, Vol.98 (Supplement_4), p.178-178

2020

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Exploring associations among morphometric measurements, genetic group of sire, and performance of beef on dairy calves

Translational animal science, 2023-01, Vol.7 (1), p.txad064-txad064

2023

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151 Use of an automated computer vision system to predict body weight and average daily gain in beef cattle in different phases of growth development

Journal of animal science, 2019-12, Vol.97 (Supplement_3), p.150-151

2019

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SheepEye: a based-web app for real-time diagnosis of sheep anemia

Translational animal science, 2024, Vol.8, p.txae144

2024

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Image analysis to automatically classify anemia based on Famacha score in sheep using ocular conjunctiva images

Translational animal science, 2023-01, Vol.7 (1), p.txad118-txad118

2023

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Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems

Using pseudo-labeling to improve performance of deep neural networks for animal identification

Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers

Longitudinal analysis of bovine mammary gland development

Adoption of Precision Technologies by Brazilian Dairy Farms: The Farmer's Perception

Ultrasound‐assisted minimally invasive technique for tissue collection from bovine mammary glands

Predicting ribeye area and circularity in live calves through 3D image analyses of body surface

Impact of Stationary Brush Quantity on Brush Use in Group-Housed Dairy Heifers

Current challenges and future of agricultural genomes to phenomes in the USA

A novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision

Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms

PSXI-2 A computer vision system for feed bunk management in beef cattle feedlot

Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images

205 Detection of anemic sheep using ocular conjunctiva images and deep learning technology

Predicting respiration rate in unrestrained dairy cows using image analysis and fast Fourier transform

Beef cattle responses to pre-grazing sward height and low level of energy supplementation on tropical pastures

Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle

227 Leveraging on high-throughput phenotyping technologies to optimize livestock genetic improvement and husbandry

PSXIII-16 Comparison of models for prediction of pig body weight using features from an autonomous 3D computer vision system

Leveraging on high-throughput phenotyping technologies to optimize livestock genetic improvement and husbandry

248 Application of computer vision and data analytics strategies for prediction of carcass composition in live pigs

Exploring associations among morphometric measurements, genetic group of sire, and performance of beef on dairy calves

151 Use of an automated computer vision system to predict body weight and average daily gain in beef cattle in different phases of growth development

SheepEye: a based-web app for real-time diagnosis of sheep anemia

Image analysis to automatically classify anemia based on Famacha score in sheep using ocular conjunctiva images

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