Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

[PDF][PDF] ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: The progression of data analytics and artificial intelligence in support of sustainable …

LO Tedeschi - Journal of Animal Science, 2022 - academic.oup.com
A renewed interest in data analytics and decision support systems in developing automated
computer systems is facilitating the emergence of hybrid intelligent systems by combining …

Prediction of carcass traits of hair sheep lambs using body measurements

E Bautista-Díaz, JA Mezo-Solis, J Herrera-Camacho… - Animals, 2020 - mdpi.com
Simple Summary Some authors have reported that the use of body measurements (BMs)
could be a useful tool for predicting carcass characteristics in sheep. Hair sheep breeds …

Using deep learning neural network in artificial intelligence technology to classify beef cuts

S GC, B Saidul Md, Y Zhang, D Reed, M Ahsan… - Frontiers in …, 2021 - frontiersin.org
The objective of this research was to evaluate the deep learning neural network in artificial
intelligence (AI) technologies to rapidly classify seven different beef cuts (bone in rib eye …

Using fat thickness and longissimus thoracis traits real-time ultrasound measurements in Black Belly ewe lambs to predict carcass tissue composition through …

GA Muñoz-Osorio, C Tırınk, TL Tyasi… - Meat Science, 2024 - Elsevier
The main idea of the current study was to estimate carcass tissue composition using fat
thickness and longissimus thoracis (LT) traits real-time ultrasound measurements (USM) in …

[HTML][HTML] Several models combined with ultrasound techniques to predict breast muscle weight in broilers

Z Li, J Zheng, B An, X Ma, F Ying, F Kong, J Wen… - Poultry Science, 2023 - Elsevier
The weight of breast muscle (WBM) is a highly monitored indicator in broiler breeding that
can be obtained after slaughtering. Currently, due to the lack of accurate in vivo phenotypes …

Predicting carcass tissue composition in Blackbelly sheep using ultrasound measurements and machine learning methods

E Camacho-Pérez, JM Lugo-Quintal, C Tirink… - Tropical Animal Health …, 2023 - Springer
This study aimed to predict Blackbelly sheep carcass tissue composition using ultrasound
measurements and machine learning models. The models evaluated were decision trees …

[HTML][HTML] Aspects related to the importance of using predictive models in sheep production. Review

AL Chaves Gurgel, GS Difante… - Revista mexicana de …, 2023 - scielo.org.mx
Sheep production systems face numerous challenges, which make decision-making a
process fraught with risks and uncertainties. Modelling is a helpful tool in this respect, as it …

Prediction of marbling score and carcass traits in Korean Hanwoo beef cattle using machine learning methods and synthetic minority oversampling technique

S Shahinfar, HA Al-Mamun, B Park, S Kim, C Gondro - Meat science, 2020 - Elsevier
Pricing of Hanwoo beef in the Korean market is primarily based on meat quality, and
particularly on marbling score. The ability to accurately predict marbling score early in the …

Machine learning algorithms for the prediction of EUROP classification grade and carcass weight, using 3-dimensional measurements of beef carcasses

H Nisbet, N Lambe, GA Miller… - Frontiers in Animal …, 2024 - frontiersin.org
Introduction Mechanical grading can be used to objectively classify beef carcasses. Despite
its many benefits, it is scarcely used within the beef industry, often due to infrastructure and …