A lightweight CNN-based model for early warning in sow oestrus sound monitoring

Y Wang, S Li, H Zhang, T Liu - Ecological Informatics, 2022 - Elsevier
The reproductive performance of sows is an important indicator for evaluating the economic
efficiency and production level of pigs. In this paper, we design and propose a lightweight …

[HTML][HTML] Sugar beet damage detection during harvesting using different convolutional neural network models

A Nasirahmadi, U Wilczek, O Hensel - Agriculture, 2021 - mdpi.com
Mechanical damages of sugar beet during harvesting affects the quality of the final products
and sugar yield. The mechanical damage of sugar beet is assessed randomly by operators …

[HTML][HTML] A spatiotemporal convolutional network for multi-behavior recognition of pigs

D Li, K Zhang, Z Li, Y Chen - Sensors, 2020 - mdpi.com
The statistical data of different kinds of behaviors of pigs can reflect their health status.
However, the traditional behavior statistics of pigs were obtained and then recorded from the …

[HTML][HTML] EnsemblePigDet: Ensemble deep learning for accurate pig detection

H Ahn, S Son, H Kim, S Lee, Y Chung, D Park - Applied Sciences, 2021 - mdpi.com
Automated pig monitoring is important for smart pig farms; thus, several deep-learning-
based pig monitoring techniques have been proposed recently. In applying automated pig …

Visual detection on posture transformation characteristics of sows in late gestation based on Libra R-CNN

L Liu, J Zhou, B Zhang, S Dai, M Shen - Biosystems Engineering, 2022 - Elsevier
Highlights•Nesting behaviour and the frequency of postural transformation
investigated.•Values of both characteristics significantly increased before sows farrowing.• …

[HTML][HTML] Farmers' perspectives of the benefits and risks in precision livestock farming in the EU pig and poultry sectors

I Kopler, U Marchaim, IE Tikász, S Opaliński, E Kokin… - Animals, 2023 - mdpi.com
Simple Summary Smart farming is a concept of agricultural innovation that combines
technological, social, economic and institutional changes. It employs novel practices of …

[HTML][HTML] Model selection for 24/7 pig position and posture detection by 2D camera imaging and deep learning

M Riekert, S Opderbeck, A Wild, E Gallmann - Computers and Electronics in …, 2021 - Elsevier
Continuous monitoring of pig posture is important for better understanding animal behavior.
Previous studies focused on day recordings and did not investigate how deep learning …

[HTML][HTML] DigiPig: First developments of an automated monitoring system for body, head and tail detection in intensive pig farming

M Ocepek, A Žnidar, M Lavrič, D Škorjanc, IL Andersen - Agriculture, 2021 - mdpi.com
The goal of this study was to develop an automated monitoring system for the detection of
pigs' bodies, heads and tails. The aim in the first part of the study was to recognize individual …

A promising approach towards precise animal weight monitoring using convolutional neural networks

C Meckbach, V Tiesmeyer, I Traulsen - Computers and Electronics in …, 2021 - Elsevier
Accurate monitoring of the live weight of pigs provides important information about the
health state, the daily gain, and the time point for marketing. However, manual weight …

[PDF][PDF] Automatic detection and tracking of mounting behavior in cattle using a deep learning-based instance segmentation model

SM Noe, TT Zin, P Tin, I Kobayashi - Int. J. Innov. Comput. Inf. Control, 2022 - ijicic.org
In precision livestock farming, estrus detection in cattle is particularly important for cattle
breeding management. With accurate estrus detection, artificial insemination can be …