Blockchain-assisted internet of things framework in smart livestock farming

Alshehri, Mohammed Ali

doi:10.1016/j.iot.2023.100739

Cited by 44 publications

(18 citation statements)

References 21 publications

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“…Monitoring livestock health and well-being is another application of IoT in PA [103]. IoT sensors may be fitted to cattle to monitor vital indications like heart rate, respiration rate, and body temperature, providing early warning of health concerns that could jeopardize the animals' well-being [104]. GNSS technology may be used to track the movement of animals inside the farm, allowing farmers to monitor grazing patterns and detect underused farm regions.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science

2023

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Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent improvements in GNSS components (GPS, GLONASS, Galileo, and BeiDou) and novel remote sensing and computer processing-based solutions in PA have not been comprehensively analyzed in scientific reviews. Therefore, this study aims to explore novelties in GNSS components with an interest in PA based on the analysis of scientific papers indexed in the Web of Science Core Collection (WoSCC). The novel solutions in PA using GNSS were determined and ranked based on the citation topic micro criteria in the WoSCC. The most represented citation topics micro based on remote sensing were “NDVI”, “LiDAR”, “Harvesting robot”, and “Unmanned aerial vehicles” while the computer processing-based novelties included “Geostatistics”, “Precise point positioning”, “Simultaneous localization and mapping”, “Internet of things”, and “Deep learning”. Precise point positioning, simultaneous localization and mapping, and geostatistics were the topics that most directly relied on GNSS in 93.6%, 60.0%, and 44.7% of the studies indexed in the WoSCC, respectively. Meanwhile, harvesting robot research has grown rapidly in the past few years and includes several state-of-the-art sensors, which can be expected to improve further in the near future.

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Section: Internet Of Thingsmentioning

confidence: 99%

Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science

2023

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“…AI and sensor-based systems revolutionize this aspect by offering real-time, automated monitoring capabilities [ 20 ]. These systems employ technologies such as RFID tags or smart collars to track various parameters, converting raw data into meaningful insights about the animals’ feeding behaviors [ 22 , 23 ]. By addressing long-standing challenges such as the optimization of feeding behavior, these technologies can significantly enhance animal welfare, streamline supply chain operations, and boost the dairy livestock export industry’s productivity and profitability [ 24 , 25 ].…”

Section: Application Of Ai and Sensor Technology In Livestock Managementmentioning

confidence: 99%

“…These systems track proximity to feeding troughs, feeding frequency [ 21 ], and duration. Analyzing these data can alert farmers of anomalies, enabling early health issue detection [ 22 , 23 ], and aid in optimizing feed management, thereby enhancing productivity and sustainability.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation

Neethirajan

2023

Sensors

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This technical note critically evaluates the transformative potential of Artificial Intelligence (AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus on the novel application of the Internet of Things (IoT) in long-distance livestock transportation, particularly in livestock enumeration and identification for precise traceability. Technological advancements in identifying behavioral patterns in ‘shy feeder’ cows and real-time weight monitoring enhance the accuracy of long-haul livestock transportation. These innovations offer benefits such as improved animal welfare standards, reduced supply chain inaccuracies, and increased operational productivity, expanding market access and enhancing global competitiveness. However, these technologies present challenges, including individual animal customization, economic analysis, data security, privacy, technological adaptability, training, stakeholder engagement, and sustainability concerns. These challenges intertwine with broader ethical considerations around animal treatment, data misuse, and the environmental impacts. By providing a strategic framework for successful technology integration, we emphasize the importance of continuous adaptation and learning. This note underscores the potential of AI, IoT, and sensor technologies to shape the future of the dairy livestock export industry, contributing to a more sustainable and efficient global dairy sector.

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“…Table 2 highlights various types of machine learning algorithms, their strength, weaknesses, and potential applications [ [15] , [16] , [17] ]. Consequently, this study presents cybersecurity datasets collected from wind turbines and solar panels in energy systems, which were not fully explored previously systems [ [18] , [19] , [20] ]. These datasets offer new opportunities for analysis and visualization, enhancing understanding of a cybersecurity framework's effectiveness in energy and power systems.…”

Section: Introductionmentioning

confidence: 99%

Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks

Faheem,

Al-Khasawneh

2024

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Blockchain-assisted internet of things framework in smart livestock farming

Cited by 44 publications

References 21 publications

Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science

Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science

Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation

Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks

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