Sensors, systems and algorithms of 3D reconstruction for smart agriculture and precision farming: A review

S Yu, X Liu, Q Tan, Z Wang, B Zhang - Computers and Electronics in …, 2024 - Elsevier
Perceiving the shape and structure of the real three-dimensional world through sensors and
cameras is indispensable across various domains. The 3D reconstruction technology is …

Application of artificial intelligence techniques in meat processing: A review

M Wang, X Li - Journal of Food Process Engineering, 2024 - Wiley Online Library
The field of meat processing plays a critical role in the food industry and has seen increasing
adoption of artificial intelligence (AI) technology with rapid technological advancements. AI …

Carcass assessment and value in the Australian beef and sheepmeat industry

SM Stewart, R Polkinghorne, DW Pethick… - Animal …, 2024 - academic.oup.com
Carcass assessment and value in the Australian beef and sheepmeat industry | Animal
Frontiers | Oxford Academic Skip to Main Content Advertisement Oxford Academic Journals …

[HTML][HTML] Changing Australia's trading language has enhanced the implementation of objective carcase measurement technologies

GE Gardner, HB Calnan, SL Connaughton, SM Stewart… - Meat science, 2025 - Elsevier
In 2016 an Australian project, the Advanced Livestock Measurement Technologies project
(ALMTech), was initiated to accelerate the development and implementation of technologies …

[HTML][HTML] Comparison of ultra-wide band microwave system and ultrasound in live cattle to predict beef carcase subcutaneous fatness

J Marimuthu, KMW Loudon, LJ Smith, GE Gardner - Meat science, 2025 - Elsevier
Ultrasound and ultrawide band microwave system (MiS) were directly compared in their
ability to scan live cattle to predict carcase traits. Commercial beef cattle (n= 315) were …

Predicting carcass cut yields in cattle from digital images using artificial intelligence

D Matthews, T Pabiou, RD Evans, C Beder, A Daly - Meat Science, 2022 - Elsevier
Deep Learning (DL) has proven to be a successful tool for many image classification
problems but has yet to be applied to carcass images. The aim of this study was to train DL …

[HTML][HTML] Prediction of carcass composition and meat and fat quality using sensing technologies: A review

PLA Leighton, J Segura, S Lam… - Meat and Muscle …, 2022 - iastatedigitalpress.com
Consumer demand for high-quality healthy food is increasing; therefore, meat processors
require the means toassess their products rapidly, accurately, and inexpensively. Traditional …

[HTML][HTML] Predicting beef carcass fatness using an image analysis system

JA Mendizabal, G Ripoll, O Urrutia, K Insausti, B Soret… - Animals, 2021 - mdpi.com
Simple Summary The degree of conformation and the degree of fatness are the primary
parameters taken by the European beef carcass classification system (the SEUROP system) …

Neural network-based method for contactless estimation of carcass weight from live beef images

H Zhang, Y Zhang, K Niu, Z He - Computers and Electronics in Agriculture, 2025 - Elsevier
Accurately estimating the carcass weight of the live beef cattle is crucial in the breeding
industry as it is essential for evaluating the quality and production capacity of beef cattle and …

Predicting fat cover in beef cattle to make on-farm management decisions: a review of assessing fat and of modeling fat deposition

MJ McPhee - Translational Animal Science, 2024 - academic.oup.com
Demands of domestic and foreign market specifications of carcass weight and fat cover, of
beef cattle, have led to the development of cattle growth models that predict fat cover to …