Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data

L Riaboff, L Shalloo, AF Smeaton, S Couvreur… - … and Electronics in …, 2022 - Elsevier
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …

[HTML][HTML] Modelling the smart farm

MJ O'Grady, GMP O'Hare - Information processing in agriculture, 2017 - Elsevier
Smart farming envisages the harnessing of Information and Communication Technologies
as an enabler of more efficient, productive, and profitable farming enterprises. Such …

Behavior classification of goats using 9-axis multi sensors: The effect of imbalanced datasets on classification performance

K Sakai, K Oishi, M Miwa, H Kumagai… - … and Electronics in …, 2019 - Elsevier
Recent developments of small electronic instruments have enabled the classification of
animal behavior using simultaneous measurements of various bio-logging data such as …

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 …

[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 …

Deep learning for laying hen activity recognition using wearable sensors

M Shahbazi, K Mohammadi, SM Derakhshani… - Agriculture, 2023 - mdpi.com
Laying hen activities in modern intensive housing systems can dramatically influence the
policies needed for the optimal management of such systems. Intermittent monitoring of …

The assessment of supplementation requirements of grazing ruminants using nutrition models

LO Tedeschi, G Molle, HM Menendez… - Translational Animal …, 2019 - academic.oup.com
This paper was aimed to summarize known concepts needed to comprehend the intricate
interface between the ruminant animal and the pasture when predicting animal …

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 …

Recognition of Cattle's Feeding Behaviors Using Noseband Pressure Sensor With Machine Learning

G Chen, C Li, Y Guo, H Shu, Z Cao… - Frontiers in Veterinary …, 2022 - frontiersin.org
Automatic monitoring of feeding behavior especially rumination and eating in cattle is
important to keep track of animal health and growth condition and disease warnings. The …