Floor sensors of animal weight and gait for precision livestock farming

Vaughan, John; Green, Peter M; Salter, Michael; Grieve, Bruce; Ozanyan, Krikor B.

doi:10.1109/icsens.2017.8234202

Cited by 12 publications

(10 citation statements)

References 3 publications

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“…Vaughan et al [131] developed animal weight and gait sensors on the floor for precision livestock farming. The author suggested that pig farms may use low-cost, lowmaintenance, and low-profile sensor mats to track the pigs' stride and weight.…”

Section: Iot In Agriculturementioning

confidence: 99%

Dimensions of Internet of Things: Technological Taxonomy Architecture Applications and Open Challenges—A Systematic Review

Kumar

et al. 2022

Wireless Communications and Mobile Computing

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We are traversing the growing emerging technology paradigms in today’s advanced technological world. In this present era, the Internet of Things (IoT) is extensively used in all sectors. IoT is the ecosystem of smart devices which contains sensors, smart objects, networking, and processing units. These integrated devices provide better services to the end user. IoT is impacting our environment and is becoming one of the most popular technologies. The leading use of IoT in human life is to track activities anywhere at any time. The utmost utilities achieved by IoT applications are decision-making and monitoring for efficient and effective management. In this paper, an extensive literature review on IoT has been done using the systematic literature review (SLR) technique. The main focus areas include commercial, environmental, healthcare, industrial, and smart cities. The issues related to the IoT are also discussed in detail. The purpose of this review is to identify the major areas of applications, different popular architectures, and their challenges. The various IoT applications are compared in accordance with technical features such as quality of service and environmental evaluation. This study can be utilized by the researchers to understand the concept of IoT and provides a roadmap to develop strategies for their future research work.

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Section: Iot In Agriculturementioning

confidence: 99%

Dimensions of Internet of Things: Technological Taxonomy Architecture Applications and Open Challenges—A Systematic Review

Kumar

et al. 2022

Wireless Communications and Mobile Computing

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“…More recent research has investigated smart floors in applications ranging from entertainment [17], to elderly healthcare and monitoring [18], mental health [19], identification and tracking [20], indoor navigation [21], as well as uses as a non-human interface for robots [22] and livestock [23]. Others have looked at the intricacies of human anatomy, and in particular the feet, in regard to human computer interaction [24].…”

Section: Background and Related Workmentioning

confidence: 99%

Activity recognition evaluation via machine learning

Rameka¹,

Connor²,

Kruse³

2019

ICST Transactions on Ambient Systems

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With the proliferation of relatively cheap Internet of Things (IoT) devices, smart environments have been highlighted as an example of how the IoT can make our lives easier. Each of these 'things' produces data which can work in unison to react to its users. Machine learning makes use of this data to make inferences about our habits and activities, such as our buying preferences or likely commute destinations. However, this level of human inclusion within the IoT relies on indirect inferences from the usage of these devices or services. Activity recognition is already a widely researched area and could provide a more direct way of including humans within this system. This research explores the feasibility of using a cost effective, unobtrusive, single modality ground-based sensor matrix to track subtle pressure changes to predict user activity, in an effort to assess its ability to act as an intermediary interface between humans and digital systems such as the IoT.

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“…A profitability is a measurement of receipts minus costs and it is depending on the economic efficiency of productivity. Meanwhile, FCR is a ratio of feed intake (feed usage) into live weight and provides a benchmark of management performance (productivity), as well as profitability of each given feed cost [7][8]. Constantly, a productivity improvement will increase profit, through its effect on the way inputs are transformed into outputs and hence, more outputs (revenue) will be produced from the same inputs (same costs).…”

Section: Introductionmentioning

confidence: 99%