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Connected Cows: Utilizing Fog and Cloud Analytics toward Data-Driven Decisions for Smart Dairy Farming

Mohit Taneja, Nikita Jalodia, Paul Malone, John Byabazaire, Alan Davy, Cristian Olariu
2019 IEEE Internet of Things Magazine  
The objective of the work presented is to enable data-driven decisions for dairy farming, and extract timely insights from the data by designing suitable analytics models for such use case scenarios.  ...  It can be expected that adopting smart dairy farming principles that unify the Internet of Things (IoT), data analytics, fog computing, and cloud computing will help meet these demands and contribute to  ... 
doi:10.1109/iotm.0001.1900045 fatcat:l4cxstrfhndhxeuxsk2e2vzkie

Artificial Intelligence and IoT in Dairy Farm

Ruhul Amin, Mostafijur Rahman
2018 Malaysian Journal of Medical and Biological Research  
Internet of things (IoT) and data-driven techniques are producing greater prospects for smart dairying. The demand for milk is unceasingly increasing because of the rising population of the globe.  ...  A brief introduction of smart dairying (SDF) is presented with relevancy to the modernization in production and therefore the processes of smart dairy farming.  ...  The Dairy Enteligen™ platform deploys a "cows-to-cloud" strategy, and functions as a real-time dashboard of operations data and insights, allowing farmers to form knowledgeable decisions on farm management  ... 
doi:10.18034/mjmbr.v5i2.516 fatcat:iukyjsxkafdwva7njqde7l3gmu

A Survey on the Role of IoT in Agriculture for the Implementation of Smart Livestock Environment

Muhammad Shoaib Farooq, Osama Omar Sohail, Adnan Abid, Saim Rasheed
2022 IEEE Access  
This domain has started revolutionizing the agriculture industry by providing smart solutions for precision farming, greenhouse management, and livestock monitoring.  ...  IoT is applicable to a variety of application domains including healthcare, smart grid, and agriculture.  ...  Here, the solution is to move the data analytics features from cloud to end nodes close to the fog / edge plane.  ... 
doi:10.1109/access.2022.3142848 fatcat:osfkhca5knhfxjws5rsr5qcgti

Introduction to the Special Issue on Iot and Agriculture

Raffaele Giaffreda
2019 IEEE Internet of Things Magazine  
From Canada to Ireland, moving from fish-farming to connected cows, with the article entitled "Connected Cows: Utilizing Fog and Cloud Analytics Toward Data Driven Decisions for Smart Dairy Farming" by  ...  Grant illustrates how, combining partners' competences and assets from industry, technology and academia, it is possible to provide data-driven insights and decisions that promote ecologically sustainable  ... 
doi:10.1109/miot.2019.8982740 fatcat:afgobsy43jgqdpoqvhdzimw2ry

Dairy 4.0: Intelligent Communication Ecosystem for the Cattle Animal Welfare with Blockchain and IoT Enabled Technologies

Anita Gehlot, Praveen Kumar Malik, Rajesh Singh, Shaik Vaseem Akram, Turki Alsuwian
2022 Applied Sciences  
Furthermore, generalized architecture has been proposed that can be directly applied in the future for breakthroughs in research and development linked to data gathering and the processing of applications  ...  In addition, the article discusses the possibilities and challenges of implementing previous techniques for different activities in dairy cattle.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12147316 fatcat:uh6hxwrbtbe6fjpg3uljshcio4

Application Specific Internet of Things (ASIoTs): Taxonomy, Applications, Use Case and Future Directions

Li-Minn Ang, Kah Phooi Seng
2019 IEEE Access  
, we give discussions and future directions for ASIoTs.  ...  in the literature; Second, we discuss a use case for a biometrics-based ASIoT (termed IoBioT) for illustration and experiments of face-based biometric recognition on IoBioT are also performed; and Third  ...  dairy cows, sheep, cattle) within the IoT.  ... 
doi:10.1109/access.2019.2907793 fatcat:452pgupu7zgpvjt62zv5br7dpm

Disruptive Technologies in Smart Farming: An Expanded View with Sentiment Analysis

Sargam Yadav, Abhishek Kaushik, Mahak Sharma, Shubham Sharma
2022 AgriEngineering  
The aim of Smart Farming is to provide tools for various agricultural and farming operations to improve yield by reducing cost, waste, and required manpower.  ...  SF is a data-driven approach that can mitigate losses that occur due to extreme weather conditions and calamities.  ...  This shift towards data-driven approaches enables farming facilities to utilize available resources for maximum yield.  ... 
doi:10.3390/agriengineering4020029 fatcat:mv2tmloy3rcvbek64ezddfu3qy

Machine learning and data analytics for the IoT [article]

Erwin Adi, Adnan Anwar, Zubair Baig, Sherali Zeadally
2020 arXiv   pre-print
., cloud, edge, fog) and the limitations of the IoT application layer protocols in transmitting/receiving messages become the barriers in creating intelligent IoT applications.  ...  The Internet of Things (IoT) applications have grown in exorbitant numbers, generating a large amount of data required for intelligent data processing.  ...  Acknowledgements We thank the anonymous reviewers for their valuable comments which helped us improve the quality, organization and presentation of this paper.  ... 
arXiv:2007.04093v1 fatcat:no4spywa75esjel7dol3pi4etm

Fog Computing Based on Machine Learning: A Review

Fady Esmat Fathel Samann, Adnan Mohsin Abdulazeez, Shavan Askar
2021 International Journal of Interactive Mobile Technologies  
Sending all this data over the internet will overhead the cloud and consume bandwidth.  ...  <p>Internet of Things (IoT) systems usually produce massive amounts of data, while the number of devices connected to the internet might reach billions by now.  ...  Thus, they designed and implemented a fog-enabled IoT solution that utilizes ML and data analytic techniques for real-time cattle monitoring to detect lame early.  ... 
doi:10.3991/ijim.v15i12.21313 fatcat:ztfuzrshq5eavduujcrhp3unhu

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Ocident Bongomin, Aregawi Yemane, Brendah Kembabazi, Clement Malanda, Mwewa Chikonkolo Mwape, Nonsikelelo Sheron Mpofu, Dan Tigalana
2020 Journal of Engineering  
The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics  ...  The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.  ...  Acknowledgments Authors OB, CM, MCM, NSM, and DT are grateful to the World Bank and the Inter-University Council of East Africa (IUCEA) for the scholarships awarded to them through the Africa Centre of  ... 
doi:10.1155/2020/8090521 fatcat:p4cxzszqkregdbjey7zelytzea

Innovations Spearheading the next Transformations in India's Agriculture

Kavery Ganguly, Ashok Gulati, Joachim von Braun
2017 Social Science Research Network  
Abstract Innovations are fast changing the agricultural landscape driven by the increasing need to shift towards sustainable practices without sacrificing the productivity and profitability of farming.  ...  More recently, innovations in farm mechanization, micro irrigation, digital technology driven farm and crop management, financial services, energy efficient post-harvest management including LED and solar  ...  document some examples of agricultural innovations for this study, and Heike Baumüller from ZEF for reviewing an earlier draft of this paper and giving some very useful comments.  ... 
doi:10.2139/ssrn.3000345 fatcat:mizvxz2yyrdo5oa2nhwmbmobai

The Digital Agricultural Revolution: a Bibliometric Analysis Literature Review

Riccardo Bertoglio, Chiara Corbo, Filippo M. Renga, Matteo Matteucci
2021 IEEE Access  
The application of digital technologies in agriculture can improve traditional practices to adapt to climate change, reduce Greenhouse Gases (GHG) emissions, and promote a sustainable intensification for  ...  Some authors argued that we are experiencing a Digital Agricultural Revolution (DAR) that will boost sustainable farming.  ...  Agriculture 4.0, thanks to wideband connection technology and cloud storage, allows a real-time view on the farm and creates agro-ecosystems of connected farms and machinery [45] , [46] .  ... 
doi:10.1109/access.2021.3115258 fatcat:aompzm2uqvhzfang37mw4sm6ci

D2.1: Inventory of market available RES technologies, machinery, energy efficiency solutions and practices

RES4LIVE Project
2022 Zenodo  
Elaboration/Provision of the inventory with market available RES technologies, machinery and energy efficiency solutions, and practices  ...  Acknowledgement The author appreciates the input in section regarding the cost from Poul Eric Christensen and Erling Friis Pedersen in Agrifarm A/S Denmark.  ...  In their case, the heat recovery system was used to heat the water for cleaning the milk processing equipment. A schematic representation of their system is shown in Fig. A18 . 11 [287] .  ... 
doi:10.5281/zenodo.7031978 fatcat:roqdycb67jhdtgcr4umjhegfsy

Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 3, pp. 7069-7290

Various
2021 Zenodo  
ISSN: 1792-8036 and 2241-4487.  ...  of science application, technology, and engineering.  ...  ACKNOWLEDGEMENT We acknowledge the support of the Ministry of Education of Malaysia under the FRGS grant (FRGS/1/2018/STG02/ USIM/02/2) and Universiti Sains Islam Malaysia (USIM) for the funding and support  ... 
doi:10.5281/zenodo.5136285 fatcat:2beknqdb3bcq7fqfav6btil6ci

Whole Issue//Número completo

Imelda Martin Junquera
2016 Ecozon@  
Lastly, by honoring the cow-ness of the cow and having an open-door policy allowing the public to see how Salatin treats his cows, Polyface Farm can, as Salatin puts it, "create a thankful, gracious, honoring  ...  decision-making.  ...  Alongside with his remaining trapped between realism and naturalism, this may help to explain his inability to connect with a wider readership.  ... 
doi:10.37536/ecozona.2016.7.1.972 fatcat:kq256iepzjakngbgosrnhwcgiq
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