Results 31 to 40 of about 1,565,944 (379)
Robust ecological analysis of camera trap data labelled by a machine learning model
Methods in Ecology and Evolution, 2021 Ecological data are collected over vast geographic areas using digital sensors such as camera traps and bioacoustic recorders. Camera traps have become the standard method for surveying many terrestrial mammals and birds, but camera trap arrays often ...
Robin C. Whytock +17 more
semanticscholar +1 more source
An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
De Computis, 2022 Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. However, current camera traps suffer from two problems. First, the images are manually classified and counted, which
I. Zualkernan +5 more
semanticscholar +1 more source
Distance sampling with camera traps [PDF]
Methods in Ecology and Evolution, 2017 SummaryReliable estimates of animal density and abundance are essential for effective wildlife conservation and management. Camera trapping has proven efficient for sampling multiple species, but statistical estimators of density from camera trapping data for species that cannot be individually identified are still in development.We extend point ...
Eric J. Howe +3 more
openaire +5 more sources
Entropy, 2022 Changes in the ungulate population density in the wild has impacts on both the wildlife and human society. In order to control the ungulate population movement, monitoring systems such as camera trap networks have been implemented in a non-invasive setup.
Alekss Vecvanags +8 more
semanticscholar +1 more source
Testing the consistency of wildlife data types before combining them: the case of camera traps and telemetry. [PDF]
, 2014 Wildlife data gathered by different monitoring techniques are often combined to estimate animal density. However, methods to check whether different types of data provide consistent information (i.e., can information from one data type be used to predict
Popescu, Viorel +2 more
core +2 more sources
Camera trap placement for evaluating species richness, abundance, and activity
Scientific Reports, 2021 Information from camera traps is used for inferences on species presence, richness, abundance, demography, and activity. Camera trap placement design is likely to influence these parameter estimates.
Kamakshi S. Tanwar, A. Sadhu, Y. Jhala
semanticscholar +1 more source
Conservation Letters, 2022 The establishment of protected areas (PAs) is a central strategy for global biodiversity conservation. While the role of PAs in protecting habitat has been highlighted, their effectiveness at protecting mammal communities remains unclear.
Cheng Chen +37 more
semanticscholar +1 more source
Camera trap arrays improve detection probability of wildlife: Investigating study design considerations using an empirical dataset. [PDF]
, 2017 Camera trapping is a standard tool in ecological research and wildlife conservation. Study designs, particularly for small-bodied or cryptic wildlife species often attempt to boost low detection probabilities by using non-random camera placement or ...
Liberati, Marjorie R +5 more
core +2 more sources
SNAPSHOT USA 2019: a coordinated national camera trap survey of the United States.
Ecology, 2021 With the accelerating pace of global change, it is imperative that we obtain rapid inventories of the status and distribution of wildlife for ecological inferences and conservation planning. To address this challenge, we launched the SNAPSHOT USA project,
M. Cove +153 more
semanticscholar +1 more source
Position clamping in a holographic counterpropagating optical trap [PDF]
, 2011 Optical traps consisting of two counterpropagating, divergent beams of light allow relatively high forces to be exerted along the optical axis by turning off one beam, however the axial stiffness of the trap is generally low due to the lower numerical ...
Alexander Jesacher +35 more
core +1 more source