Precision livestock farming research: a global scientometric review

B Jiang, W Tang, L Cui, X Deng - Animals, 2023 - mdpi.com
Simple Summary In recent years, there has been a significant increase in research on
precision livestock farming. The aim of this paper is to provide a comprehensive review of …

Technological Tools and Artificial Intelligence in Estrus Detection of Sows—A Comprehensive Review

M Sharifuzzaman, HS Mun, KMB Ampode, EB Lagua… - Animals, 2024 - mdpi.com
Simple Summary Accurate estrus detection by farmers is key to successful sow breeding as
it offers the opportunity for timely mating, successful reproduction, and increased …

Enhancing animal welfare with interaction recognition: A deep dive into pig interaction using xception architecture and SSPD-PIR method

JH Kim, A Poulose, SJ Colaco, S Neethirajan, DS Han - Agriculture, 2023 - mdpi.com
The advent of artificial intelligence (AI) in animal husbandry, particularly in pig interaction
recognition (PIR), offers a transformative approach to enhancing animal welfare, promoting …

Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network

M Hou, W Lv, M Kong, R Li, Z Liu, D Wang… - Annals of Nuclear …, 2023 - Elsevier
Accurate forecasts for pressurized water reactor safety parameters are essential to ensure
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …

[HTML][HTML] CO2 emission based GDP prediction using intuitionistic fuzzy transfer learning

S Kumar, AK Shukla, PK Muhuri, QMD Lohani - Ecological Informatics, 2023 - Elsevier
The industrialization has been the primary cause of the economic boom in almost all
countries. However, this happened at the cost of the environment, as industrialization also …

Research on pig sound recognition based on deep neural network and hidden Markov models

W Pan, H Li, X Zhou, J Jiao, C Zhu, Q Zhang - Sensors, 2024 - mdpi.com
In order to solve the problem of low recognition accuracy of traditional pig sound recognition
methods, deep neural network (DNN) and Hidden Markov Model (HMM) theory were used …

[HTML][HTML] Reference architecture design for developing data management systems in smart farming

NNK Krisnawijaya, B Tekinerdogan, C Catal… - Ecological …, 2024 - Elsevier
The traditional data management systems prove inadequate to handle the volume, velocity,
and variety of the data within farm business processes. Smart farming technologies offer …

[HTML][HTML] Is Deep Learning useful for decision making in pig production?

Y Bao, P Llagostera, LM Plà-Aragonès - Internet of Things, 2024 - Elsevier
Numerous recent papers based on deep learning (DL) have been published covering a
wide range of applications to pig production. These applications provide information …

[HTML][HTML] Towards truly stall free pork production?

KJ Plush, RJ Hewitt, DN D'Souza, RJ van Barneveld - animal, 2023 - Elsevier
The individual housing of sows and boars within stalls is still frequent in commercial pork
production, especially when risk for impaired reproduction or welfare is high. Whilst many …

Development of Speech Command Control Based TinyML System for Post-Stroke Dysarthria Therapy Device

B Riyanta, HA Irianta, BP Kamiel - Journal of Robotics and Control …, 2023 - journal.umy.ac.id
Post-stroke dysarthria (PSD) is a widespread outcome of a stroke. To help in the objective
evaluation of dysarthria, the development of pathological voice recognition and technology …