Radio Frequency Identification Technology Used to Monitor the Use of Water Point for Grazing Cattle

Abstract

Recent study suggested that the availability of water points for grazing bovine livestock in northern Australia are focused on efficient allocation of grazing rather than use of cattle water points. Scientific study of cattle watering actions under differing climatic, landscape and water quality conditions (i.e. distances between water points) is required to inform decisions for the improvement of water infrastructure and to improve cattle profitability. This research examined the ability of reader data from remote weighing devices for Radio Frequency Identification (RFID) to analyze cattle visiting times and time interim from cattle visiting to water points. Information from the northern Australia's 3 cattle stations that used. The Daily weather information (humidity, temperature, wind speed, sun radiation, cloud cover and rainfall) were gathered from the official stations of weather located at and near each location. Models with longitudinal mixed effects were used to track differences in the actions of cattle in and between stations. Information from the RFID reader revealed that ultimate cattle visiting to water points that took place between the daylight hours (in between 6:00 a.m. and 7:00 p.m.) and within the 48 h of a precursory visiting. The time of the day for cattle visiting water points that did not differ in between the stations (P > 0.05) but assorted by months (P = 0.001), day periods (P < 0.001), so time from last visit (P = 0.013) and cloud covers (P = 0.043). The time intervals in between the cattle visiting to the water points different significantly between the stations (P < 0.002) and each station appeared to throw back seasonal conditions and water availability. The time intervals in between the water point visiting also varied by months (P < 0.001), the day (P < 0.001), humidity-temperature (P = 0.035) and cloud cover (P = 0.029). In The study results indicate that RFID reader data can identify behavioral differences depending on the availability of atmosphere and water and is an appropriate tool for researching the use of cattle water level. Data on cattle point usage could be used to support cattle capture and catch, to classify living organism that do not use a water point, to better understand grazing conditions, to forecast the volume and quality of cattle.