AIMC Topic: Animal Feed
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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms.
BMC genomics
Mar 31, 2025
BACKGROUND: Feed efficiency (FE) is an essential trait in livestock species because of the constant demand to increase the productivity and sustainability of livestock production systems. A better understanding of the biological mechanisms associated...
A machine-learning approach to optimize nutritional properties and organic wastes recycling efficiency conversed by black soldier fly (Hermetia illucens).
Bioresource technology
Feb 17, 2025
Suboptimal nutrition in organic waste limits the growth of black soldier fly (BSF) larvae, thereby reducing biowaste recycling efficiency. In this study, weight gain data from BSF larvae fed diets with distinct nutrient compositions were used to buil...
Providing concentrate feed outside of the milking robot increases feed intake in dairy cows without reducing motivation to visit the robot.
Animal : an international journal of animal bioscience
Feb 10, 2025
Appropriate and adequate feeding is essential to maintaining good health, productivity and welfare of dairy cows. Within automatic milking systems, concentrate feed is offered inside the milking robot, and is thought to play a key role in motivating ...
Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks.
Tropical animal health and production
Jan 30, 2025
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to w...
Machine Learning for Predicting Zearalenone Contamination Levels in Pet Food.
Toxins
Dec 23, 2024
Zearalenone (ZEN) has been detected in both pet food ingredients and final products, causing acute toxicity and chronic health problems in pets. Therefore, the early detection of mycotoxin contamination in pet food is crucial for ensuring the safety ...
Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 20, 2024
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classificatio...
Performance of expert fuzzy systems for prediction of rabbit feed intake after weaning.
Tropical animal health and production
Nov 9, 2024
The postweaning phase is stressful for rabbits due to maternal separation and the introduction of solid feed. Stress can be aggravated when animals are subjected to thermal discomfort. Therefore, thermal variables, such as air temperature, which infl...
An integrated three-stream network model for discriminating fish feeding intensity using multi-feature analysis and deep learning.
PloS one
Oct 21, 2024
Feed costs constitute a significant part of the expenses in the aquaculture industry. However, feeding practices in fish farming often rely on the breeder's experience, leading to feed wastage and environmental pollution. To achieve precision in feed...
Prediction of growth and feed efficiency in mink using machine learning algorithms.
Animal : an international journal of animal bioscience
Sep 16, 2024
The feed efficiency (FE) expresses as the amount of feed required per unit of BW gain. Since feed cost is the major input cost in the mink industry, evaluating of FE is a crucial step for competitiveness of the mink industry. However, the FE measures...
Suitability of different machine learning algorithms for the classification of the proportion of grassland-based forages at the herd level using mid-infrared spectral information from routine milk control.
Journal of dairy science
Aug 30, 2024
As the call for an international standard for milk from grassland-based production systems continues to grow, so too do the monitoring and evaluation policies surrounding this topic. Individual stipulations by countries and milk producers to market t...
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