Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals

Deniz, Nestor N.; Chelotti, Jos O.; Galli, Julio R.; Planisich, Alejandra M.; Larripa, Marcelo; Rufiner, Hugo Leonardo; Giovanini, Leonardo

doi:10.1016/j.compag.2017.04.024

Cited by 37 publications

(19 citation statements)

References 15 publications

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“…The volume of data collected through long‐term continuous ecosystem monitoring using such equipment requires consideration. Other studies have performed analyses directly on the monitoring device at the point of data capture as a way of reducing the volume of data being transmitted (Deniz et al., ). This reduces the data storage requirements of the device since only analysed statistics derived from the raw data are kept.…”

Section: Discussionmentioning

confidence: 99%

Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device

et al. 2018

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Automated methods of monitoring ecosystems provide a cost‐effective way to track changes in natural system's dynamics across temporal and spatial scales. However, methods of recording and storing data captured from the field still require significant manual effort. Here, we introduce an open source, inexpensive, fully autonomous ecosystem monitoring unit for capturing and remotely transmitting continuous data streams from field sites over long time‐periods. We provide a modular software framework for deploying various sensors, together with implementations to demonstrate proof of concept for continuous audio monitoring and time‐lapse photography. We show how our system can outperform comparable technologies for fractions of the cost, provided a local mobile network link is available. The system is robust to unreliable network signals and has been shown to function in extreme environmental conditions, such as in the tropical rainforests of Sabah, Borneo. We provide full details on how to assemble the hardware, and the open‐source software. Paired with appropriate automated analysis techniques, this system could provide spatially dense, near real‐time, continuous insights into ecosystem and biodiversity dynamics at a low cost.

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Section: Discussionmentioning

confidence: 99%

Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The volume of data collected through long-term continuous ecosystem monitoring using such equipment requires consideration. Other studies have performed analyses directly on the monitoring device at the point of data capture as a way of reducing the volume of data being transmitted (Deniz et al, 2017). This reduces the data storage requirements of the device since only analysed statistics derived from the raw data are kept.…”

Section: Discussionmentioning

confidence: 99%

Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device

Sethi

Ewers

Jones

et al. 2017

Preprint

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“…Going even further, an on-board sound analysis and classification algorithm could save only the time and outcome/category of the event (e.g. call, species, chewing), which would reduce the amount of data drastically (Akamatsu et al, 2005;Deniz et al, 2017). Naturally, some of these algorithms are heavy power consumers, so they must be used wisely.…”

Section: A Few Technical Notes About On-board Sound Recordingsmentioning

confidence: 99%

Using on-board sound recordings to infer behaviour of free-moving wild animals

Greif

Yovel

2019

Journal of Experimental Biology

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Technological advances in the last 20 years have enabled researchers to develop increasingly sophisticated miniature devices (tags) that record an animal's behaviour not from an observational, external viewpoint, but directly on the animals themselves. So far, behavioural research with these tags has mostly been conducted using movement or acceleration data. But on-board audio recordings have become more and more common following pioneering work in marine mammal research. The first questions that come to mind when recording sound on-board animals concern their vocal behaviour. When are they calling? How do they adjust their behaviour? What acoustic parameters do they change and how? However, other topics like foraging behaviour, social interactions or environmental acoustics can now be addressed as well and offer detailed insight into the animals' daily life. In this Review, we discuss the possibilities, advantages and limitations of on-board acoustic recordings. We focus primarily on bats as their active-sensing, echolocating lifestyle allows many approaches to a multi-faceted acoustic assessment of their behaviour. The general ideas and concepts, however, are applicable to many animals and hopefully will demonstrate the versatility of on-board acoustic recordings and stimulate new research.

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Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals

Cited by 37 publications

References 15 publications

Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device

Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device

Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device

Using on-board sound recordings to infer behaviour of free-moving wild animals

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