On the Effectiveness of UAS for Anti-Poaching in the African Arid Savanna
Silverberg, L. M.; vanVuuren, M.; vanVuuren, R.; Lutz, G.
Show abstract
This paper describes a field study that examined the effectiveness of unmanned aerial vehicles (UAV) in anti-poaching enforcement in parks and game reserves. In the field study, a UAV attempted to spot mock poachers while the mock poachers tried to spot the UAV. The field study was conducted at N/aan ku se, an operational game reserve in the central region of Namibia. In total, 118 trials were completed, providing 236 UAV-poacher interdiction scenarios. Of these, 198 were during the day, 152 with a quadcopter and 46 with a fixed-wing. Live spotting success during the day varied due to the hiding behavior of the mock poachers, with the highest and lowest success rates of spotting being 86% for poachers in the open and 25% for poachers hiding under canopy cover. The UAVs were demonstrated to be a potentially effective tool for anti-poaching patrol and interdiction, in part, because of their ability to spot poachers. The pursuit of integrating the UAV into current anti-poaching patrol and interdiction efforts in arid savanna landscapes is strongly recommended.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Inventive nesting behaviour in the keyhole wasp Pachodynerus nasidens Latreille (Hymenoptera: Vespidae) in Australia, and the risk to aviation safety 94%
- Form, function, and divergence of a generic fin shape in small cetaceans 94%
- Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring 93%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Welfare at group and individual level: optical flow patterns of broiler chicken flocks are correlated with the behaviour of individual birds 94%
- Artificial light is the main driver of nocturnal feeding by the Rock dove (Columba livia) in urban areas 92%
- Impact evaluation of score classes and annotation regions in deep learning-based dairy cow body condition prediction 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.