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Monitoring and Population Density Estimation
Effective Integrated Pest Management (IPM) programs rely heavily on accurate knowledge of pest and beneficial organism populations. Within the...
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Feature enhancement guided network for yield estimation of high-density jujube
BackgroundAutomatic and precise jujube yield prediction is important for the management of orchards and the allocation of resources. Traditional...
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Mixture density networks for the indirect estimation of reference intervals
BackgroundReference intervals represent the expected range of physiological test results in a healthy population and are essential to support medical...
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Mustelid mugshots: photographing facial masks of European polecats (Mustela putorius) for individual recognition and density estimation using camera traps
Small carnivores play an important role in ecosystems, but their often hidden lifestyle makes them generally hard to observe. Camera-trap**...
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A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect
Remote sensing (RS) estimation of chlorophyll density serves as an effective measure to assess crop nitrogen (N) nutrition status and guide precision...
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Estimation of the Ecological Density of Some Species of Game according to Winter Route Censuses
Abstract —The possibility of determining the ecological density of game animals according to winter route censuses is considered. Determining the...
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Density and abundance estimation of unmarked ungulates using camera traps in the Mudumu National Park, Namibia
Density and abundance estimates are critical to effective wildlife management and are essential for monitoring population trends and setting...
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More than one way to count a cat: estimation of ocelot population density using frameworks for marked and unmarked species
Camera-traps have become one of the most common tools for studying wildlife abundance and population density. Traditionally, absolute density could...
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Kernel density estimation of conditional distributions to detect responses in satellite tag data
BackgroundAs levels of anthropogenic noise in the marine environment rise, it is crucial to quantify potential associated effects on marine mammals....
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Wood Density and Biomass
This chapter highlights the importance of wood density (WD) in estimating biomassBiomass, focusing on the crucial role of carbon sequestrationCarbon...
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Distributed Consensus-Based COVID-19 Hotspot Density Estimation
The primary focus of this work is an application of consensus and distributed algorithms to detect COVID-19 transmission hotspots and to assess the...
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Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning
BackgroundChina has a unique cotton planting pattern. Cotton is densely planted in alternating wide and narrow rows to increase yield in **njiang,...
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Weed density estimation in soya bean crop using deep convolutional neural networks in smart agriculture
Weeds are those unwanted plants that grow between cultivated crops, which reduce the purity of the crops. Crops are severely affected by weeds for...
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Reliability of vegetation resilience estimates depends on biomass density
Concerns have been raised that the resilience of vegetated ecosystems may be negatively impacted by ongoing anthropogenic climate and land-use change...
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Wood Density Variations
WD is highly conserved across seed plant species. Variation in WD is primarily attributable to genera within a family, followed by family, order, and...
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Nonparametric conditional density estimation in a deep learning framework for short-term forecasting
Short-term forecasting is an important tool in understanding environmental processes. In this paper, we incorporate machine learning algorithms into...
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Components of Brown Trout Age-Class Density Dynamics
Brown trout population dynamics are driven by endogenous and exogenous factors acting together or interacting. Endogenous mechanisms include...
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Wood property genetic parameter estimation from first-generation Douglas-fir progeny tests
Douglas-fir ( Pseudotsuga menziesii (Mirbel) Franco) is the most important commercial timber species in the United States Pacific Northwest (US PNW)....
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Sexual dimorphism and topological variability in fingerprint ridge density in a north-west Indian population
The science of fingerprints is very crucial in criminal investigation as it helps identify perpetrators or victims of a crime. Fingerprint ridge...
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Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries
BackgroundForest aboveground biomass (AGB) is not only the basis for estimating forest carbon storage, but also an important parameter for evaluating...
