Environmental sensor networks for vegetation, animal and soil sciences

Zerger, André; Rossel, Raphael A. Viscarra; Swain, D. L.; Wark, Tim; Handcock, R.N.; Doerr, Veronica; Bishop-Hurley, Greg; Doerr, Erik D.; Gibbons, Philip; Lobsey, C.

doi:10.1016/j.jag.2010.05.001

Cited by 60 publications

(40 citation statements)

References 155 publications

(123 reference statements)

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“…Sensors are often used in environmental and agricultural monitoring, and data collection in those fields is often managed using wireless networks (Aqeel-ur-Rehman et al 2014;Hart and Martinez 2006;Ruiz-Garcia et al 2009;Zerger et al 2010). Advances in technology and the increasing availability of wireless network access even in comparatively remote locations have made the use of such networks a commonplace among researchers, farmers, and land and wildlife managers.…”

Section: Wireless Networkmentioning

confidence: 99%

Application of continuous monitoring of honeybee colonies

2014

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-Monitoring physical variables associated with honeybee colonies, including weight, temperature, humidity, respiratory gases, vibration, sound, and forager traffic, in a continuous manner is becoming feasible for most researchers as the cost and size of electronic sensors decrease while their precision and capacity increase. Researchers have taken different approaches to collecting and analyzing the resulting datasets, with a view toward extracting information on colony behavior and phenology. The objective of this review is to examine critically the different kinds of data and data analyses, providing researchers with better-informed options for obtaining information on colony phenology in the field without disturbing the hive, and for combining information from different kinds of sensors to obtain a more complete picture of colony status. Wireless sensor networks and powering sensors are briefly discussed.continuous hive weight / colony temperature / colony humidity / forager traffic / hive vibration

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Section: Wireless Networkmentioning

confidence: 99%

Application of continuous monitoring of honeybee colonies

2014

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“…These data could be used by farm managers as aide-memoire, providing visual comparison, which are the base of the ''intuitive'' decisions. The same pasture images could also deliver scientific data combined with other soil and animal proximal sensors within a WSN (Gobbett et al 2013, Zerger et al 2010. It is now possible to create a large-scale sensor network by deploying applications on enduser devices to collect and report data back to servers, using commercially available mobile communication services.…”

Section: Monitoring Grazing Pressure Using Wireless Sensor Networkmentioning

confidence: 99%

Overgrazing in the Montado? The need for monitoring grazing pressure at paddock scale

2015

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Montados are presently facing the threat of either abandonment or intensification, and livestock overgrazing has been suspected of contributing to reduced natural regeneration and biodiversity. However, reliable data are to our knowledge, lacking. To avoid potential risks of overgrazing, an adaptive and efficient management is essential. In the present paper we review the main sources of complexity for grazing management linked with interactions among pasture, livestock and human decisions. We describe the overgrazing risk in montados and favour grazing pressure over stocking rate, as a key indicator for monitoring changes and support management decisions. We suggest the use of presently available imaging and communication technologies for assessing pasture dynamics and livestock spatial location. This simple and effective tools used for monitoring the grazing pressure, could provide an efficient day-to-day aid for farm managers' operational use and also for rangeland research through data collection and analysis.

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“…Developments in automated animal monitoring technology have resulted in larger and more accurate behavioural data sets (Cooke et al, 2004;Zerger et al, 2010). Animal location data have been recorded at intervals greater than four times per second, with a spatial accuracy of ,5 m .…”

Section: Estimating Locationmentioning

confidence: 99%

“…Over the last decade, there has been a rapid development in automated telemetry that is able to monitor a number of different aspects of free-ranging herbivores (Cooke et al, 2004;Zerger et al, 2010). Researchers who are interested in nutritional physiology have explored opportunities to use these technologies to determine energetics and grazing selection (Brosh et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Nutritional ecology therefore recognizes that behavioural preferences largely reflect physiological needs (Parsons et al, 1994;Provenza, 1995). However, dietary changes associated with limited availability of familiar food items results in herbivores exploring and learning; this learning phase can result in physiologically inadequate selection preferences (Provenza et al, 2003).Over the last decade, there has been a rapid development in automated telemetry that is able to monitor a number of different aspects of free-ranging herbivores (Cooke et al, 2004;Zerger et al, 2010). Researchers who are interested in nutritional physiology have explored opportunities to use these technologies to determine energetics and grazing selection (Brosh et al, 2006).…”

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confidence: 99%

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Opportunities for telemetry techniques in studies on the nutritional ecology of free-ranging domesticated ruminants

Swain

Friend

2013

Animal

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The principles of domestic herbivore nutrition are well understood and have been developed through detailed physiological studies, although methods to accurately measure field-based intake still challenge herbivore nutrition research. Nutritional ecology considers an animal's interaction with the environment based on its nutritional demands. Although there are a number of theoretical frameworks that can be used to explore nutritional ecology, optimal foraging provides a suitable starting point. Optimal foraging models have progressed from deterministic techniques to spatially explicit agent-based simulation methods. The development of optimal foraging modelling points towards opportunities for field-based research to explore behavioural preferences within studies that have an array of nutritional choices that vary both spatially and temporally. A number of techniques including weighing animals, weighing herbage, using markers (both natural and artificial) and sampling forage, using oesophageal-fistulated animals, have been used to determine intake in the field. These intake measurement techniques are generally most suited to studies that occur over a few days and with relatively small (often less than 10) groups of animals. Over the last 10 years, there have been a number of advances in automated behavioural monitoring technology (e.g. global positioning systems) to track animal movement. A number of recent studies have integrated detailed spatial assessments of vegetation using on-ground sampling and satellite remote sensing; these data have been linked to behavioural preferences of herbivores. Although the recent studies still do not address nutritional interactions over months or years, they do point to methods that could be used to address landscape scale nutritional interactions. Emerging telemetry techniques used to monitor herbivore behavioural preferences and also to determine detailed landscape vegetation mapping provide the opportunity for future herbivore nutritional ecology studies.

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Environmental sensor networks for vegetation, animal and soil sciences

Cited by 60 publications

References 155 publications

Application of continuous monitoring of honeybee colonies

Application of continuous monitoring of honeybee colonies

Overgrazing in the Montado? The need for monitoring grazing pressure at paddock scale

Opportunities for telemetry techniques in studies on the nutritional ecology of free-ranging domesticated ruminants

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