[HTML][HTML] Monitoring and classification of cattle behavior: A survey

A da Silva Santos, VWC de Medeiros… - Smart Agricultural …, 2023 - Elsevier
The use of precision livestock has increased due to the need to improve the efficiency and
productivity required by the high food demand. Monitoring cattle behavior is a fundamental …

Understanding intake on pastures: how, why, and a way forward

WB Smith, ML Galyean, RL Kallenbach… - Journal of Animal …, 2021 - academic.oup.com
An assessment of dietary intake is a critical component of animal nutrition. Consumption of
feed resources is the basis upon which feeding strategies and grazing management are …

C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming

Y Qiao, Y Guo, K Yu, D He - Computers and electronics in agriculture, 2022 - Elsevier
Cow behaviour provides valuable information about animal welfare, activities and livestock
production. Therefore, monitoring of behaviour is gaining importance in the improvement of …

[HTML][HTML] Cattle behaviour classification from collar, halter, and ear tag sensors

A Rahman, DV Smith, B Little, AB Ingham… - … processing in agriculture, 2018 - Elsevier
In this paper, we summarise the outcome of a set of experiments aimed at classifying cattle
behaviour based on sensor data. Each animal carried sensors generating time series …

A combined offline and online algorithm for real-time and long-term classification of sheep behaviour: Novel approach for precision livestock farming

JA Vázquez-Diosdado, V Paul, KA Ellis, D Coates… - Sensors, 2019 - mdpi.com
Real-time and long-term behavioural monitoring systems in precision livestock farming have
huge potential to improve welfare and productivity for the better health of farm animals …

Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle

PL Greenwood, DR Paull, J McNally… - Crop and Pasture …, 2017 - CSIRO Publishing
Practical and reliable measurement of pasture intake by individual animals will enable
improved precision in livestock and pasture management, provide input data for prediction …

Robust sensor-orientation-independent feature selection for animal activity recognition on collar tags

JW Kamminga, DV Le, JP Meijers, H Bisby… - Proceedings of the …, 2018 - dl.acm.org
Fundamental challenges faced by real-time animal activity recognition include variation in
motion data due to changing sensor orientations, numerous features, and energy and …

DISubNet: depthwise separable inception subnetwork for pig treatment classification using thermal data

SJ Colaco, JH Kim, A Poulose, S Neethirajan, DS Han - Animals, 2023 - mdpi.com
Simple Summary Thermal imaging is gaining popularity in poultry, swine, and dairy animal
husbandry for detecting disease and distress. In this study, we present a depthwise …

Detection of cattle key parts based on the improved Yolov5 algorithm

D Shao, Z He, H Fan, K Sun - Agriculture, 2023 - mdpi.com
Accurate detection of key body parts of cattle is of great significance to Precision Livestock
Farming (PLF), using artificial intelligence for video analysis. As the background image in …

Bigru-attention based cow behavior classification using video data for precision livestock farming

Y Guo, Y Qiao, S Sukkarieh, L Chai… - Transactions of the …, 2021 - elibrary.asabe.org
Highlights BiGRU-attention based cow behavior classification was proposed. Key spatial-
temporal features were captured for behavior representation. BiGRU-attention achieved> …