Industry 4.0 and precision livestock farming (PLF): an up to date overview across animal productions

S Morrone, C Dimauro, F Gambella, MG Cappai - Sensors, 2022 - mdpi.com
Precision livestock farming (PLF) has spread to various countries worldwide since its
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …

A systematic survey on the role of cloud, fog, and edge computing combination in smart agriculture

Y Kalyani, R Collier - Sensors, 2021 - mdpi.com
Cloud Computing is a well-established paradigm for building service-centric systems.
However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations …

A survey on the role of iot in agriculture for the implementation of smart livestock environment

MS Farooq, OO Sohail, A Abid, S Rasheed - IEEE Access, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging paradigm that is transforming real-world things
(objects) into smarter devices. IoT is applicable to a variety of application domains including …

[HTML][HTML] Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle

M Taneja, J Byabazaire, N Jalodia, A Davy… - … and Electronics in …, 2020 - Elsevier
Timely lameness detection is one of the major and costliest health problems in dairy cattle
that farmers and practitioners haven't yet solved adequately. The primary reason behind this …

Advanced energy consumption system for smart farm based on reactive energy utilization technologies

X Lin, X Sun, G Manogaran, BS Rawal - Environmental Impact Assessment …, 2021 - Elsevier
Over the decades, both agriculture and energy grids have encountered significant
challenges, such as the lack of power supply to agricultural farms and the difficulties of …

IOTA‐Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit‐Boosted Machine Learning Algorithms

M Hameed, F Yang, MI Ghafoor… - Wireless …, 2022 - Wiley Online Library
In the Internet of Things (IoT) era, the mobile crowd sensing system (MCS) has become
increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically …

Future of dairy farming from the Dairy Brain perspective: Data integration, analytics, and applications

VE Cabrera, L Fadul-Pacheco - International Dairy Journal, 2021 - Elsevier
Data integration is one of the biggest challenges the dairy industry faces nowadays due to
increased number of technologies and data overflow at the farm. Here we review the current …

A near-zero energy system based on a kinetic energy harvester for smart ranch

L Kong, M Tang, Z Zhang, Y Pan, H Cao, X Wang… - Iscience, 2022 - cell.com
Smart ranch relying on sensor systems to realize monitoring of animals and the environment
has emerged with the promotion of the Internet of Things (IoT). This paper proposes a near …

An approach based on fog computing for providing reliability in IoT data collection: a case study in a Colombian coffee smart farm

AI Montoya-Munoz, OMC Rendon - Applied Sciences, 2020 - mdpi.com
The reliability in data collection is essential in Smart Farming supported by the Internet of
Things (IoT). Several IoT and Fog-based works consider the reliability concept, but they fall …

CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning

T Zhou, M Lin - Journal of Systems Architecture, 2023 - Elsevier
Small devices are frequently used in IoT and smart-city applications to perform periodic
dedicated tasks with soft deadlines. This work focuses on developing methods to derive …