Designing of a Smart Collar for Dairy Cow Behavior Monitoring with Application Monitoring in Microservices and Internet of Things-Based Systems

Pratama, Yogi Putra; Basuki, Dwi Kurnia; Sukaridhoto, Sritrusta; Yusuf, Alviansyah Arman; Yulianus, Heri; Faruq, Faruq; Putra, Fariz Bramasta

doi:10.1109/elecsym.2019.8901676

Cited by 32 publications

(17 citation statements)

References 4 publications

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“…We use the Raspberry Pi module because of its popularity and affordable price. Raspberry Pi module is also used for the gateway in many papers ( Daidone, Carminati & Ferrari, 2021 ; Luchian et al, 2021 ; Pratama et al, 2019 ). Moreover, the Raspberry Pi has built-in Wifi and Bluetooth function which is suitable for local communication (LAN network) between gateway and IoT devices.…”

Section: Discussionmentioning

confidence: 99%

“…In this case, the Security schema (JSON Web Token Bearer) to be used in order to access to specific content that exposes how to access and interact with the Smart House resources. In addition, Pratama et al (2019) introduced a smart collar based on microservices backend design for dairy cow behavior monitoring. The platform’s backend is created using the Microservices architecture idea, where each progress is isolated into services independent from one to another.…”

Section: Related Workmentioning

confidence: 99%

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BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)

Nguyen

et al. 2022

PeerJ Computer Science

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Undeniably, Internet of Things (IoT) devices are gradually getting better over time; and IoT-based systems play a significant role in our lives. The pervasiveness of the new essential service models is expanding, and includes self-driving cars, smart homes, smart cities, as well as promoting the development of some traditional fields such as agriculture, healthcare, and transportation; the development of IoT devices has not shown any sign of cooling down. On the one hand, several studies are coming up with many scenarios for IoT platforms, but some critical issues related to performance, speed, power consumption, availability, security, and scalability are not yet fully resolved. On the other hand, IoT devices are manufactured and developed by different organizations and individuals; hence, there is no unified standard (uniformity of IoT devices), i.e., sending and receiving messages among them and between them and the upper layer (e.g., edge devices). To address these issues, this paper proposes an IoT Platform called BMDD (Broker-less and Microservice architecture, Decentralized identity, and Dynamic transmission messages) that has a combination of two architectural models, including broker-less and microservices, with cutting-edge technologies such as decentralized identity and dynamic message transmission. The main contributions of this article are five-fold, including: (i) proposing broker-less and microservice for the IoT platform which can reduce single failure point of brokering architecture, easy to scale out and improve failover; (ii) providing a decentralized authentication mechanism which is suitable for IoT devices attribute (i.e., mobility, distributed); (iii) applying the Role-Based Access Control (RBAC) model for the authorization process; (iv) exploiting the gRPC protocol combined with the Kafka message queue enhances transmission rates, transmission reliability, and reduces power consumption in comparison with MQTT protocol; and (v) developing a dynamic message transmission mechanism that helps users communicate with any device, regardless of the manufacturer, since it provides very high homogeneity.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)

Nguyen

et al. 2022

PeerJ Computer Science

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“…Pratima et al [10], the collected data from sensors like temperature, heart rate and axial sensors is stored. This is used as datasets for the classifier using Support Vector Machine (SVM) algorithm and Decision Tree (DT).…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Dairy Cattle Farming and In-Heat Detection through the Internet of Things (IoT)

Arago

Alvarez²,

Mabale³

et al. 2022

IJIE

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Smart farming is the practice of intelligent agricultural management based on technological data gathered from farm practice for the purpose of increased levels of quality, production and environmental protection. The Internet of Things (IoT) technology is revolutionized in various aspects of agriculture around the world and its application found success in some countries. In this paper, a non-invasive and non-contact estrus detection system integrated IoT technology to improve the detection efficiency of standing-heat behaviors of cows is proposed. The outcome of this study will improve the farm’s management practices through the integration of IoT technology that can remotely monitor the activities of the cows and provide data for analysis and evaluation, will increase the likelihood of future estrus instances for every correct prediction, and will improve the fertility and milk production rates of the cows. Such benefits can contribute to the growth and development of the dairy cattle industry in the Philippines. This study also shows the application of IoT in improving the detection efficiency of standing-heat behaviors of cows through automated detection using Pan-tilt-zoom (PTZ) cameras and a Python-driven Web Application. The dimensions of the barn are measured, and the Cameras' Field of Views (FOVs) is pre-calculated for the strategic positions of the cameras atop of the cowshed. The program detects the cows and any estrus events through the surveillance cameras. The result is sent to the cloud server to display on the web application for analysis. The web app allows updates on cow information, inseminations, pregnancy, and calving records, estimate travel time from the user's geolocation to the farm, provide live monitoring and remote camera accessibility and control through the cameras and deliver reliable cross-platform push-notification and call alerts on the user's device(s) whenever an estrus event is detected. The system initially and correctly detected 4 standing-heat signs, but with 2 false predictions and identifications leading to 2 “True Positive” and 2 “False Positive” results, attaining a 50% detection efficiency. Based on the results, the program performed satisfactorily at 50% detection efficiency.

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“…As a matter of fact, scalability, interoperability, and the open/persuasive nature of IoT have revolutionized the livestock industry for vast pastures and constrained farms. Animal health can be easily monitored and tracked using smart wearable sensors and devices such as smart collars [9]. IoT-based livestock not only includes animals' health monitoring and controlling, but also many other deployments have been incorporated such as optimal environment and field supervision for feeding approaches [10], [11], [12].…”

Section: Introductionmentioning

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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Designing of a Smart Collar for Dairy Cow Behavior Monitoring with Application Monitoring in Microservices and Internet of Things-Based Systems

Cited by 32 publications

References 4 publications

BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)

BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)

Smart Dairy Cattle Farming and In-Heat Detection through the Internet of Things (IoT)

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

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