Precision livestock farming research: a global scientometric review

B Jiang, W Tang, L Cui, X Deng - Animals, 2023 - mdpi.com
Simple Summary In recent years, there has been a significant increase in research on
precision livestock farming. The aim of this paper is to provide a comprehensive review of …

[HTML][HTML] Livestock feeding behaviour: A review on automated systems for ruminant monitoring

JO Chelotti, LS Martinez-Rau, M Ferrero… - Biosystems …, 2024 - Elsevier
Livestock feeding behaviour is an influential research area in animal husbandry and
agriculture. In recent years, there has been a growing interest in automated systems for …

[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review

M Ariza-Sentís, S Vélez, R Martínez-Peña… - … and Electronics in …, 2024 - Elsevier
Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …

A systematic survey of public computer vision datasets for precision livestock farming

A Bhujel, Y Wang, Y Lu, D Morris, M Dangol - Computers and Electronics in …, 2025 - Elsevier
Technology-driven precision livestock farming (PLF) empowers practitioners to monitor and
analyze animal growth and health conditions for improved productivity and welfare while …

[HTML][HTML] A review of deep learning techniques for detecting animals in aerial and satellite images

Z Xu, T Wang, AK Skidmore, R Lamprey - International Journal of Applied …, 2024 - Elsevier
Deep learning is an effective machine learning method that in recent years has been
successfully applied to detect and monitor species population in remotely sensed data. This …

[HTML][HTML] Collectively advancing deep learning for animal detection in drone imagery: Successes, challenges, and research gaps

D Axford, F Sohel, M Vanderklift, A Hodgson - Ecological informatics, 2024 - Elsevier
Drones have emerged as a powerful tool in animal detection, significantly advancing wildlife
monitoring, conservation, and management by capturing high-resolution, real-time imagery …

A proposal for decentralized and secured data collection from unmanned aerial vehicles in livestock monitoring with blockchain and ipfs

JCÚ Ortega, J Rodríguez-Molina, M Martínez-Núñez… - Applied Sciences, 2022 - mdpi.com
Featured Application The presented work makes significant contributions towards setting the
technologies, both in terms of hardware and software, required for the usage of Unmanned …

Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection

M Moreni, J Theau, S Foucher - Plos one, 2023 - journals.plos.org
The vast amount of images generated by aerial imagery in the context of regular wildlife
surveys nowadays require automatic processing tools. At the top of the mountain of different …

Management and monitoring of livestock in the farm using deep learning

M Molapo, C Tu, D Du Plessis… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Livestock management and monitoring system play a crucial role in farm operations. This
paper proposes a system for the management and monitoring of livestock on a farm using …

Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements

J Doornbos, KE Bennin, Ö Babur, J Valente - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as versatile tools with significant potential
in various fields, including, but not limited to civil engineering, ecology, networking and …