Assessment of a livestock GPS collar based on an open‐source datalogger informs best practices for logging intensity

Abstract

Ecologists have used Global Positioning Systems (GPS) to track animals for 30 years. Issues today include logging frequency and precision in estimating space use and travel distances, as well as battery life and cost. We developed a low‐cost (~US$125), open‐source GPS datalogger based on Arduino. To test the system, we collected positions at 20‐s intervals for several 1‐week durations from cattle and sheep on rangeland in North Dakota. We tested two questions of broad interest to ecologists who use GPS collars to track animal movements: (1) How closely do collared animals cluster in their herd? (2) How well do different logging patterns estimate patch occupancy and total daily distance traveled? Tested logging patterns included regular logging (one position every 5 or 10 min), and burst logging (positions recorded at 20‐s intervals for 5 or 10 min per hour followed by a sleep period). Collared sheep within the same pasture spent 75% of daytime periods within 51 m of each other (mean = 42 m); collared cattle were within 111 m (mean = 76 m). In our comparison of how well different logging patterns estimate space use versus constant logging, the proportion of positions recorded in 1‐ and 16‐ha patches differed by 2%–3% for burst logging and 1% for regular logging. Although all logging patterns underestimated total daily distance traveled, underestimations were corrected by multiplying estimations by regression coefficients estimated by maximum likelihood. Burst logging can extend battery life by a factor of 7. We conclude that a minimum of two collars programmed with burst logging robustly estimate patch use and spatial distribution of grazing livestock herds. Research questions that require accurately estimating travel of individual animals, however, are probably best addressed with regular logging intervals and will thus have greater battery demands than spatial occupancy questions across all GPS datalogger systems.

A Low-Cost IoT-Based System to Monitor the Location of a Whole Herd

“…On the other hand, the weight of the GPS-based system (265 g) can be considered low for more than 365 days of operational life, which is longer than that of other low-cost system described in scientific literature [33,35]. In [36] a lighter GPS device to be placed on an ear tag is described, but it has an operational life of a few weeks.…”

Internet of Things for evaluating foraging and feeding behavior of cattle on grassland-based farming systems: concepts and review of sensor technologies

“…From the hardware viewpoint, custom-built, open-source GPS datalogger based on Arduino for collecting data can be designed and built (see [36]).…”

“…Metrics for analyzing herd movements, such as average herd travel speed, daily travel distances, average herd radius, average centroid location deviation, and average herd radius deviation, are considered. In [36], it is evaluated…”

Low-cost DIY GPS trackers improve upland game bird monitoring

“…For example, researchers have modified commercially available pet and vehicle tracking GPS devices for wildlife applications with costs ranging from $45 to 175 USD (Allan et al 2013, Forin-Wiart et al 2015, Fischer et al 2018. Alternatively, development of Arduino-based GPS trackers as a light-weight wildlife tracking option range from $40 to 880 USD (Quaglietta et al 2012, Cain and Cross 2018, McGranahan et al 2018. Arduino is an open-source microcontroller that is widely used for DIY engineering projects (< www.arduino.cc >).…”

“…However, there is hesitancy among practitioners to undertake a potentially engineering-intensive endeavor without engineering experience. As a result, the wildlife field has seen limited application of DIY or Arduino technology (McGranahan et al 2018).…”