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 …
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 …
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
The advent of artificial intelligence (AI) in animal husbandry, particularly in pig interaction
recognition (PIR), offers a transformative approach to enhancing animal welfare, promoting …
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
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 …
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
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 …
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 …
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
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 …
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 …
wide range of applications to pig production. These applications provide information …
[HTML][HTML] Towards truly stall free pork production?
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 …
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
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 …
evaluation of dysarthria, the development of pathological voice recognition and technology …