Internet of Things (IoT) and Machine Learning (ML) enabled Livestock Monitoring

Chaudhry, Abdul Aziz; Mumtaz, Rafia; Zaidi, Syed Sajjad Haider; Tahir, Muhammad

doi:10.1109/honet50430.2020.9322666

Cited by 38 publications

(15 citation statements)

References 8 publications

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“…These communication protocols act as a nerve in IoT-enabled livestock farming to process and transmit data. Zigbee is deployed as the main enabler for communication over long distances such as wildlife tracking when mediators such as LTE, GSM, and Code Division Multiple Access (CDMA) technologies are not available [42], [43].…”

Section: ) Communication Technologiesmentioning

confidence: 99%

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

et al. 2022

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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 healthcare, smart grid, and agriculture. This domain has started revolutionizing the agriculture industry by providing smart solutions for precision farming, greenhouse management, and livestock monitoring. This article aims to present a comprehensive survey on the role of IoT in the Livestock field by categorizing and synthesizing existing research work in this area. To this end, a detailed discussion has been provided on IoT network infrastructure, topologies and platforms employed for livestock management. In addition, a list of communication protocols and connections of IoT-based livestock systems with relevant technologies have also been explored. Furthermore, numerous IoT-based livestock monitoring, controlling, and tracking applications have been discussed. Apart from this, it also analyses distinct security issues in IoT-based livestock field and developed a collaborative security model to detect and minimize the security risk. Lastly, pertinent open research challenges in the domain of IoT-based livestock management have been presented with future research directions.

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Section: ) Communication Technologiesmentioning

confidence: 99%

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

et al. 2022

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“…The fundamental role of livestock in the supply of protein and dairy products and common diseases between humans and livestock is one of the human motivations for improving this industry [35].…”

Section: Smart Livestockmentioning

confidence: 99%

“…Various mobile sensors such as pulse sensors, temperature sensors, accelerometer sensors, thermometers, etc., are installed in one collar mount on the animal. At the same time, the user can easily monitor the condition of the animal with a microcontroller connected wirelessly to this device [35].…”

Section: Smart Livestockmentioning

confidence: 99%

Internet of Things Applications: Opportunities and Threats

Rahmani

Bayramov

Kalejahi

2021

Wireless Pers Commun

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In the century of automation, which is digitized, and more and more technology is used, automatic systems' replacement of old manual systems makes people's lives easier. Nowadays, people have made the Internet an integral part of humans' daily lives unless they are insecure. The Internet of Things (IoT) secures a platform that authorizes devices and sensors to be remotely detected, connected, and controlled over the Internet. Due to the developments in sensor technologies, the production of tiny and low-cost sensors has increased. Many sensors, such as temperature, pressure, vibration, sound, light, can be used in the IoT. As a result of the development of these sensors with new generations, the power of the IoT technology increases, and accordingly, the revolution of IoT applications are developing rapidly. Therefore, their security issues and threats are challenging topics. In this paper, the benefits and open issues, threats, limitations of IoT applications are presented. The assessment shows that the most influential factor for evaluating IoT applications is the cost that is used in 79% of all articles, then the real-time-ness that is used in 64%, and security and error are used in 57% of all reviewed articles.

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“…Machine Learning is being intensively used to solve real-time computer vision and image processing problems [6], [7], [8] is intensively. Our solution is built using machine learning techniques associated with OpenCV library [9], [10] and a pre-trained library of objects and animals from Coco (Common Object in Context) dataset [11], [12] that is large-scale object detection, segmentation, and captioning dataset.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Intrusion Detection System For Space Monitoring : Case Study Of Farming In Benin

HOUNGUE

SAGBO

DAHOUE

et al. 2022

IJPSAT

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The Internet of Things (IoT) is one of the major tools of the new era of digital transformation. Through the Internet of Things, we are looking forward to exploring the new technologies in the digital world and how they help in improving the real world. In this work, we provide an overview of the approach used to deploy a surveillance system for monitoring any indoor space in general and specifically for agricultural spaces. The entire process starts after motion detection by motion sensors using Machine Learning techniques. This requires coverage and response processing algorithms implemented in the electronic chain. The electronic part of the system relates to microcontrollers, sensors and communications between them. A mobile application has been created to allow competent authorities to receive alerts for real-time intervention with the aim of preventing the destruction of crops slaughtered near herds passage. We have introduced the monitoring system’s synoptic diagram and its operation along with the power modules description. Prototype has been designed and performance evaluation has been performed to show the system is responsive most of time.

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Internet of Things (IoT) and Machine Learning (ML) enabled Livestock Monitoring

Cited by 38 publications

References 8 publications

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

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

Internet of Things Applications: Opportunities and Threats

Machine Learning-Based Intrusion Detection System For Space Monitoring : Case Study Of Farming In Benin

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