The high mobility of UAVs combined with a high level of autonomy, sensor-driven technologies and AI decision-making abilities can provide many advantages to farmers in exploiting instant information from every corner of a large farm.

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[1] Kaya Kuru, Darren Ansell, David Jones, "Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock ", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/765q-1q97. Accessed: Jul. 13, 2024.
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doi = {10.21227/765q-1q97},
url = {http://dx.doi.org/10.21227/765q-1q97},
author = {Kaya Kuru; Darren Ansell; David Jones },
publisher = {IEEE Dataport},
title = {Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock },
year = {2023} }
TY - DATA
T1 - Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock
AU - Kaya Kuru; Darren Ansell; David Jones
PY - 2023
PB - IEEE Dataport
UR - 10.21227/765q-1q97
ER -
Kaya Kuru, Darren Ansell, David Jones. (2023). Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock . IEEE Dataport. http://dx.doi.org/10.21227/765q-1q97
Kaya Kuru, Darren Ansell, David Jones, 2023. Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock . Available at: http://dx.doi.org/10.21227/765q-1q97.
Kaya Kuru, Darren Ansell, David Jones. (2023). "Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock ." Web.
1. Kaya Kuru, Darren Ansell, David Jones. Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/765q-1q97
Kaya Kuru, Darren Ansell, David Jones. "Airborne Vision-Based Remote Sensing Imagery Datasets From Large Farms Using Autonomous Drones For Monitoring Livestock ." doi: 10.21227/765q-1q97