2022
DOI: 10.1109/access.2022.3168295
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Livestock Management With Unmanned Aerial Vehicles: A Review

Abstract: The ease of use and advancements in drone technology is resulting in the widespread application of Unmanned Aerial Vehicles (UAVs) to diverse fields, making it a booming technology. Among UAVs' several applications, livestock agriculture is one of the most promising, where UAVs facilitate various operations for efficient animal management. But the field is characterized by multiple environmental, technical, economic, and strategic challenges. However, the use of advanced technological techniques like Artificia… Show more

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Cited by 41 publications
(12 citation statements)
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“…The Internet of Things (IoT) is a most promising technique that provides various innovative solutions to modernize livestock farming. IoT technology has recently been obtaining more attention in the livestock farming sector as it can ful l the imperative requirement for interoperability between the agriculture sector with scalability and traceability [40]. It is based on the principle of uniquely determining interconnected devices, extracting the data, and storing it in the base station, which is used by machine learning algorithms to achieve common goals.…”
Section: Introductionmentioning
confidence: 99%
“…The Internet of Things (IoT) is a most promising technique that provides various innovative solutions to modernize livestock farming. IoT technology has recently been obtaining more attention in the livestock farming sector as it can ful l the imperative requirement for interoperability between the agriculture sector with scalability and traceability [40]. It is based on the principle of uniquely determining interconnected devices, extracting the data, and storing it in the base station, which is used by machine learning algorithms to achieve common goals.…”
Section: Introductionmentioning
confidence: 99%
“…A comprehensive video set of sheep activities were captured via ground-based cameras and prepared in this article, which can be used for developing new deep learning models and enabling accelerated application of pretrained models for other similar domains. However, we note that, since herd management via Unmanned Aerial Vehicles (UAV) (including drone technologies [ 1 , 8 ] and networks using drone captures to detect and count animals [9] ) have recently gained interest, the accuracy of activity detection techniques using this proposed dataset may vary compared to the datasets obtained from UAV videos, due to the differences between the learned features of the deep learning models. The above technical barrier may, however, be overcome by using Transfer Learning approaches (transferring model parameters and utilizing minimal or small datasets) to obtain higher-accuracy detections.…”
Section: Limitationsmentioning
confidence: 99%
“…The UAVs can fly autonomously or can be operated by human pilots [107]. The tremendous growth of UAVs is due to their high aerial mobility, advanced battery technology, rotors, global positioning system (GPS), cameras, sensors, low cost, fuel efficiency, and a broad range of applications [108,109]. The UAVs provide new potential for business in civil and non-civil applications such as agriculture, parcel delivery, aerial mapping, wildlife conservation, and surveillance [110,111].…”
Section: Vehicular Applicationsmentioning
confidence: 99%