An electronic animal activity recorder

1966 ◽  
Vol 22 (2) ◽  
pp. 127-128 ◽  
Author(s):  
P. L. Chambers ◽  
T. J. Salmons
Keyword(s):  
Animal Activity ◽  
Activity Recorder

scholarly journals IoT-Based Bee Swarm Activity Acoustic Classification Using Deep Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 676
Author(s):  
Andrej Zgank
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Markov Models ◽  
Audio Signal ◽  
Audio Signals ◽  
Mel Frequency Cepstral Coefficients ◽  
Animal Activity ◽  
The Impact ◽  
Acoustic Classification ◽  
Swarm Activity

Animal activity acoustic monitoring is becoming one of the necessary tools in agriculture, including beekeeping. It can assist in the control of beehives in remote locations. It is possible to classify bee swarm activity from audio signals using such approaches. A deep neural networks IoT-based acoustic swarm classification is proposed in this paper. Audio recordings were obtained from the Open Source Beehive project. Mel-frequency cepstral coefficients features were extracted from the audio signal. The lossless WAV and lossy MP3 audio formats were compared for IoT-based solutions. An analysis was made of the impact of the deep neural network parameters on the classification results. The best overall classification accuracy with uncompressed audio was 94.09%, but MP3 compression degraded the DNN accuracy by over 10%. The evaluation of the proposed deep neural networks IoT-based bee activity acoustic classification showed improved results if compared to the previous hidden Markov models system.

scholarly journals Application of YOLOv4 for Detection and Motion Monitoring of Red Foxes

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1723
Author(s):  
Anne K. Schütz ◽  
Verena Schöler  ◽  
E. Tobias Krause  ◽  
Mareike Fischer  ◽  
Thomas Müller  ◽  
...  
Keyword(s):  
Animal Welfare ◽  
Early Recognition ◽  
Activity Patterns ◽  
Automatic Detection ◽  
Animal Husbandry ◽  
Video Data ◽  
Activity Level ◽  
Red Foxes ◽  
Experimental Conditions ◽  
Animal Activity

Animal activity is an indicator for its welfare and manual observation is time and cost intensive. To this end, automatic detection and monitoring of live captive animals is of major importance for assessing animal activity, and, thereby, allowing for early recognition of changes indicative for diseases and animal welfare issues. We demonstrate that machine learning methods can provide a gap-less monitoring of red foxes in an experimental lab-setting, including a classification into activity patterns. Therefore, bounding boxes are used to measure fox movements, and, thus, the activity level of the animals. We use computer vision, being a non-invasive method for the automatic monitoring of foxes. More specifically, we train the existing algorithm ‘you only look once’ version 4 (YOLOv4) to detect foxes, and the trained classifier is applied to video data of an experiment involving foxes. As we show, computer evaluation outperforms other evaluation methods. Application of automatic detection of foxes can be used for detecting different movement patterns. These, in turn, can be used for animal behavioral analysis and, thus, animal welfare monitoring. Once established for a specific animal species, such systems could be used for animal monitoring in real-time under experimental conditions, or other areas of animal husbandry.

An Accurate Recorder for Animal Activity

1960 ◽  
Vol 41 (2) ◽  
pp. 284
Author(s):  
Kenneth S. Rawson
Keyword(s):  
Animal Activity

Bayesian nonparametric inference for the overlap of daily animal activity patterns

2018 ◽  
Vol 25 (4) ◽  
pp. 471-494 ◽  
Author(s):  
Gabriel Núñez-Antonio ◽  
Manuel Mendoza ◽  
Alberto Contreras-Cristán ◽  
Eduardo Gutiérrez-Peña ◽  
Eduardo Mendoza
Keyword(s):  
Activity Patterns ◽  
Nonparametric Inference ◽  
Bayesian Nonparametric ◽  
Animal Activity

scholarly journals Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags

2018 ◽  
Vol 2 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Jacob W. Kamminga ◽  
Duc V. Le ◽  
Jan Pieter Meijers ◽  
Helena Bisby ◽  
Nirvana Meratnia ◽  
...  
Keyword(s):  
Feature Selection ◽  
Activity Recognition ◽  
Sensor Orientation ◽  
Animal Activity ◽  
Selection For

scholarly journals Antroposkenen ekosysteemi

2020 ◽  
Vol 33 (2) ◽  
pp. 25-41 ◽  
Author(s):  
Kristiina Koskinen
Keyword(s):  
Forest Ecosystem ◽  
Cultural Construction ◽  
Subjective Perception ◽  
Male Voice ◽  
Animal Activity

Tarkastelen artikkelissa pohjoisen metsäekosysteemin representaatiota Yleisradion Avaran luonnon esittämässä luontodokumentissa Villi Pohjola, osa 1/6: Suomi (Saksa 2011). Analyysini kautta piirtyy esiin eläinten toiminnan näyttämöksi muodostunut metsä, jonka pohjoisuus korostaa kaukaisen, koskemattoman ja rajattoman luonnon vaikutelmaa. Reflektoin tällaisen luontorepresentaation merkitystä villin luonnon kulttuurisesta konstruktiosta käydyn keskustelun avulla.Luontodokumenteille tyypillinen ajatus dokumentaarisuudesta toden tallenteena tiivistyy Villissä Pohjolassa pelkistettyyn tyyliin, jossa teknisesti rakennettuja kuvia tai kohtauksia ja vahvaa tarinankerrontaa on vältetty. Kertoja selostaa hajanaisen kollaasin metsän eläinten toiminnoista vuodenaikojen edetessä. Puheosioiden väleissä tunnelmoidaan musiikilla ja metsän visuaalista kauneutta korostavilla maisemakuvilla.Jos toden tallentamiseen kytkeytyvän läpinäkyvyyden vaikutelman ymmärtää tekijöiden valitsemana tyylinä, avautuu näkökulma kerronnan tarpeiden kautta muokkautuvaan luontoon. Erityisyyden, ihmeellisyyden, ikiaikaisuuden ja villiyden ominaisuudet eivät niinkään nouse metsän fyysisestä olemuksesta, vaan tarinan rakenteiden, visuaalisuuden ja televisiokerronnan asettamien vaatimusten ja mieltymysten mukaisesti. Vaikka näitäkin piirteitä suomalaisesta metsästä voi löytää, niiden tiivistymää Villin Pohjolan kerronnassa voidaan kuvailla eräänlaisena antroposkenen ekosysteeminä. Yhdistettynä villin luonnon kulttuuriseen konstruktioon toden tallentamiseen typistyvä dokumentaarisuus mahdollistaa uskottavan esityksen pohjoisesta luonnosta, joka ei ole poliittinen, riippuvuussuhteessa itseemme tai inhimillisten näkökulmien muokkaama valinta. Luontodokumentin todeksi vahvistama metsä muuttuu polaariseksi toiseudeksi, paikaksi ajan ja ihmisyyden ulkopuolella.Forest ecosystem as a stage: constructing wilderness with northernnessIn this article, I investigate the representation of a forest ecosystem in a nature documentary series episode Wild Scandinavia – Finland (Germany 2011). Through the analysis, the ecosystem appears as a stage for visually curious animals and their behavior. By emphasizing the northern location of the forest, the representation connects with the cultural construction of wilderness. The northern nature appears untouched, remote, and boundless. Typically for many wildlife films, the idea of capturing a neutral reality prevails in Wild Scandinavia – Finland. The audiovisual narrative is created with a style devoid of technically constructed images or scenes and by eschewing apparent storytelling. A loose collection of animal activity along the passing seasons is narrated by a male voice-over. In between the narrated parts, music and scenery highlight the visual beauty of the forest. If we understand the appearance of transparency as a style selected by the authors, a nature with features enhanced by audiovisual narration can be seen to unfold. Wild Scandinavia – Finland presents a forest characterised by rarity, perpetuity, and wildness. These are all traits that can be found in a Finnish forest, but the condensation suggests a nature modified by the needs of visuality and narration. Using the concept of antroposcene by Brett Mills, the article describes an ecosystem converted into a cinematic forest. Combined with the cultural construction of wilderness, the idea of capturing a neutral reality enables a plausible impression of northern nature free from politics, subjective perception, or dependency on ourselves.

scholarly journals Water sources aggregate parasites with increasing effects in more arid conditions

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Georgia Titcomb ◽  
John Naisikie Mantas ◽  
Jenna Hulke ◽  
Ivan Rodriguez ◽  
Douglas Branch ◽  
...  
Keyword(s):  
Disease Transmission ◽  
Animal Movement ◽  
Landscape Heterogeneity ◽  
Water Sources ◽  
East African ◽  
Small Areas ◽  
Arid Conditions ◽  
Animal Activity ◽  
Herbivore Species ◽  
And Function

AbstractShifts in landscape heterogeneity and climate can influence animal movement in ways that profoundly alter disease transmission. Water sources that are foci of animal activity have great potential to promote disease transmission, but it is unknown how this varies across a range of hosts and climatic contexts. For fecal-oral parasites, water resources can aggregate many different hosts in small areas, concentrate infectious material, and function as disease hotspots. This may be exacerbated where water is scarce and for species requiring frequent water access. Working in an East African savanna, we show via experimental and observational methods that water sources increase the density of wild and domestic herbivore feces and thus, the concentration of fecal-oral parasites in the environment, by up to two orders of magnitude. We show that this effect is amplified in drier areas and drier periods, creating dynamic and heterogeneous disease landscapes across space and time. We also show that herbivore grazing behaviors that expose them to fecal-oral parasites often increase at water sources relative to background sites, increasing potential parasite transmission at these hotspots. Critically, this effect varies by herbivore species, with strongest effects for two animals of concern for conservation and development: elephants and cattle.

Successful Animal Activity

2018 ◽  
pp. 77-116
Author(s):  
William E. Ritter
Keyword(s):  
Animal Activity
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