High-accuracy and energy-efficient wearable device for dairy cows’ localization and activity detection using low-cost IMU/RFID sensors

Achour, Brahim; Belkadi, Malika; Saddaoui, Rafik; Filali, Idir; Aoudjit, Rachida; Laghrouche, Mourad

doi:10.1007/s00542-022-05288-7

Cited by 11 publications

(8 citation statements)

References 55 publications

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“…There is an opportunity to develop inclusive and user-friendly technologies tailored to the needs of smallholder farmers, incorporating participatory design principles to ensure usability and relevance [154,155]. Research efforts should focus on developing cost-effective automation and monitoring solutions that leverage low-cost hardware and open-source software platforms [146,153,[156][157][158]. Addressing data privacy concerns requires the development of robust policy and governance frameworks that safeguard farmers' rights and ensure responsible data stewardship [86,153].…”

Section: Automation and Monitoring In Agriculturementioning

confidence: 99%

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

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The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production and pose a threat to food security. In response to these challenges, the integration of IoT and AI technologies emerges as a promising solution, facilitating data-driven decision-making, optimizing resource allocation, and enhancing monitoring and control systems in agricultural operations to address these challenges and promote sustainable farming practices. This study examines the intersection of IoT and AI in precision agriculture (PA), aiming to provide a comprehensive understanding of their combined impact and mutually reinforcing relationship. Employing a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we explore the synergies and transformative potential of integrating IoT and AI in agricultural systems. The review also aims to identify present trends, challenges, and opportunities in utilizing IoT and AI in agricultural systems. Diverse forms of agricultural practices are scrutinized to discern the applications of IoT and AI systems. Through a critical analysis of existing literature, this study contributes to a deeper understanding of how the integration of IoT and AI technologies can revolutionize PA, resulting in improved efficiency, sustainability, and productivity in the agricultural sector.

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Section: Automation and Monitoring In Agriculturementioning

confidence: 99%

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

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“…Insect Bee [67], [83], [105] Insect [50] Weevil [77] Bird Bird [32] Broiler chicken [53] Chicken [47], [73] Goose [69] Hen [68] Hummingbird [19] Laying hen [33], [71] Pigeon [49] Poultry [52] Wild bird [30], [99] Mammal Bison [107] Buffalo [95] Cattle [89], [36], [51], [94], [38], [3], [57], [43], [74], [91], [35], [76], [52], [90], [8], [18], [80], [7], [88], [42], [87], [85], [62], [58] Domestic animal [18], [61], [82] Elephant [63] Goat [57], …”

Section: Type Animals Referencesmentioning

confidence: 99%

“…Animal Behavior Monitoring [94], [67], [41], [101], [19], [53], [42], [33], [96], [92], [63], [7], [84], [32], [93], [64], [102], [86], [44], [105], [104], [6], [80], [75], [30], [82], [108], [109], [31], [34] Livestock Management [51], [57], [89], [90], [103], [69], [52], [95], [91], [73], [35], [38], [21], [48], [37], [61], [107], [39], [8], [106], [76], …”

Section: Types Of Problems Publication Referencementioning

confidence: 99%

RFID Technology for Animal Tracking: A Survey

Pereira,

Araújo,

Silva

et al. 2023

IEEE J. Radio Freq. Identif.

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The application of animal tracking holds significant importance across diverse economic domains, encompassing sectors including livestock husbandry, agricultural practices, and the conservation of wildlife populations. It aims to track and understand animal behavior, movement patterns, and health status. The predominant use of RFID technology is observed within the domains of logistics, localization, and the tracking of goods. Notably, the application of this technology in the field of animal tracking has experienced a significant surge in popularity in recent years. This paper conducts a systematic literature review focused on understanding how RFID technology is being applied in the field of animal tracking. We have conducted a stateof-the-art research regarding animal tracking solutions in the scientific literature and patents. We have analyzed these solutions targeting which animals are being tracked, which problems are addressed, operating frequency, and whether other technologies are combined with RFID for animal tracking purposes. Among the categories of problems addressed, livestock management emerged as the main area, followed by animal tracking and traceability. Mammals, especially cattle, are the most common type of animal monitored. Considering RFID technology, passive UHF tags appeared more often. Moreover, many works also employed cameras and GPS together with RFID. Finally, this work can significantly contribute to this field by systematically presenting a state-of-the-art application of RFID for animal tracking.

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“…Combining sensors (e.g., accelerometers) with any location determining technique in a sensor or data fusion system can give more detailed information on individual cows, and give an even more reliable and accurate indication of animal welfare. For example, an inertial measurement unit (IMU), which uses an accelerometer, gyroscope and magnetometer to accurately determine movement and relative position [175], can be used in a data fusion system with RFID [176] or GNSS [177] to give more precise information on behaviour. Another example is that an accelerometer alone might give information on standing idle but the added information on location helps determine whether this is a possible welfare issue.…”

Section: Welfare and Animal Locationmentioning

confidence: 99%

Mapping Welfare: Location Determining Techniques and Their Potential for Managing Cattle Welfare—A Review

Hofstra

Roelofs

Rutter

et al. 2022

Dairy

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Several studies have suggested that precision livestock farming (PLF) is a useful tool for animal welfare management and assessment. Location, posture and movement of an individual are key elements in identifying the animal and recording its behaviour. Currently, multiple technologies are available for automated monitoring of the location of individual animals, ranging from Global Navigation Satellite Systems (GNSS) to ultra-wideband (UWB), RFID, wireless sensor networks (WSN) and even computer vision. These techniques and developments all yield potential to manage and assess animal welfare, but also have their constraints, such as range and accuracy. Combining sensors such as accelerometers with any location determining technique into a sensor fusion system can give more detailed information on the individual cow, achieving an even more reliable and accurate indication of animal welfare. We conclude that location systems are a promising approach to determining animal welfare, especially when applied in conjunction with additional sensors, but additional research focused on the use of technology in animal welfare monitoring is needed.

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High-accuracy and energy-efficient wearable device for dairy cows’ localization and activity detection using low-cost IMU/RFID sensors

Cited by 11 publications

References 55 publications

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

RFID Technology for Animal Tracking: A Survey

Mapping Welfare: Location Determining Techniques and Their Potential for Managing Cattle Welfare—A Review

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