[HTML][HTML] Livestock feeding behaviour: A review on automated systems for ruminant monitoring
Livestock feeding behaviour is an influential research area in animal husbandry and
agriculture. In recent years, there has been a growing interest in automated systems for …
agriculture. In recent years, there has been a growing interest in automated systems for …
Daylong acoustic recordings of grazing and rumination activities in dairy cows
Monitoring livestock feeding behavior may help assess animal welfare and nutritional status,
and to optimize pasture management. The need for continuous and sustained monitoring …
and to optimize pasture management. The need for continuous and sustained monitoring …
Classifying ingestive behavior of dairy cows via automatic sound recognition
Determining ingestive behaviors of dairy cows is critical to evaluate their productivity and
health status. The objectives of this research were to (1) develop the relationship between …
health status. The objectives of this research were to (1) develop the relationship between …
Dairy cow rumination detection: A deep learning approach
Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus,
changes in the livestock behavior are a critical indicator for early detection and prevention of …
changes in the livestock behavior are a critical indicator for early detection and prevention of …
A call for the development of a sustainable pest management program for the economically important pest flies of livestock: a beef cattle perspective
Filth fly pests have a substantial impact on livestock production; annual losses from filth flies
were estimated at over US $1.5 billion in 1981. Knowing filth fly management and animal …
were estimated at over US $1.5 billion in 1981. Knowing filth fly management and animal …
Classifying Chewing and Rumination in Dairy Cows Using Sound Signals and Machine Learning
Simple Summary This article aims to investigate the nutritional behavior of dairy cattle,
aiming to comprehend their dietary requirements and eating habits. In this regard, an effort …
aiming to comprehend their dietary requirements and eating habits. In this regard, an effort …
[HTML][HTML] Detectability of multi-dimensional movement and behaviour in cattle using sensor data and machine learning algorithms: Study on a Charolais bull
M Biszkup, G Vásárhelyi, NN Setiawan… - Artificial Intelligence in …, 2024 - Elsevier
The development of motion sensors for monitoring cattle behaviour has enabled farmers to
predict the state of their cattle's welfare more efficiently. While most studies work with one …
predict the state of their cattle's welfare more efficiently. While most studies work with one …
A measurement system for enteric CH4 emissions monitoring from ruminants in livestock farming
In this paper, a proposal for an Internet-of-Things (IoT) based measurement system dealing
with the enteric methane (CH 4) emission monitoring from ruminants is presented. Herein, a …
with the enteric methane (CH 4) emission monitoring from ruminants is presented. Herein, a …
[HTML][HTML] A noise-robust acoustic method for recognizing foraging activities of grazing cattle
Farmers must continuously improve their livestock production systems to remain competitive
in the growing dairy market. Precision livestock farming technologies provide individualized …
in the growing dairy market. Precision livestock farming technologies provide individualized …
[HTML][HTML] Programming and Setting Up the Object Detection Algorithm YOLO to Determine Feeding Activities of Beef Cattle: A Comparison between YOLOv8m and …
P Guarnido-Lopez, JF Ramirez-Agudelo, E Denimal… - Animals, 2024 - mdpi.com
Simple Summary This study addresses the challenge of accurately monitoring the feeding
behavior of cattle, which is crucial for their health and productivity. The aim was to compare …
behavior of cattle, which is crucial for their health and productivity. The aim was to compare …