TY - BOOK
T1 - Deployment of a LoRa-WAN near-real-time precision ranching system on extensive desert rangelands: What we have learned
AU - McIntosh, Matthew
AU - Cibils, Andres
AU - Nyamuryekung'e, Shelemia
AU - Estell, Richard
AU - Cox, Andrew
AU - Holland, JP
AU - Duni, Danielle
AU - Gong, Qixu
AU - Waterhouse, A.
AU - Cao, Huiping
AU - Boucheron, Laura
AU - Chen, Huiying
AU - Spiegal, Sheri
AU - Duff, Glen
AU - Utsumi, Santiago
PY - 2023/10
Y1 - 2023/10
N2 - Objective: Precision livestock farming technologies show great promise for the management of extensive, arid rangelands, but more practical knowledge is needed to allow ranchers to determine potential applications and limitations for adoption. We tested a long-range wide area network (LoRa-WAN) precision livestock system over 3 mo (April–June 2020) in a ranch in southwest New Mex- ico, USA. The system monitors cattle position and move- ments, precipitation, and water trough water levels at pas- ture and ranch scales, in real time. Materials and Methods: Here we describe the com- ponents of the system and share what we have learned from our preliminary experiences. This system included a solar-power LoRa-WAN receiving station with the cor- responding gateway, radio frequency antenna (824–894 MHz), and Wi-Fi bridge for data transmission into the Internet. The testbed network for testing LoRa-WAN sen- sors included 43 GPS-trackers deployed on lactating beef cows and 2 environmental sensors used to monitor precipi- tation regimens and trough water levels, respectively. Results and Discussion: The system collected data consistently for the trough levels and precipitation, where- as data from the cow GPS-trackers was highly heteroge- neous. On average, 46 ± 4% of daily data packets logged by GPS-trackers were successfully transmitted through the LoRa-WAN system, exceeding 80% of successful trans- mission in several cases. This report documents the neces- sary infrastructure, performance, and maintenance of sys- tem components, which could be of significant information value to ranchers and researchers with a desire to deploy similar monitoring systems. Implications and Applications: This Technical Note documents the implemetation of a LoRa-WAN monitoring system at the ranch scale for a 3-mo period. The system has allowed the ranch manager and assisting staff to ef- ficiently manage cattle inventories and promptly address animal welfare concerns. However, further research is re- quired to assess the scalability of this system across com- mercial operating cattle ranches in the Southwest United States, thereby unlocking its potential for broader adop- tion and effect.
AB - Objective: Precision livestock farming technologies show great promise for the management of extensive, arid rangelands, but more practical knowledge is needed to allow ranchers to determine potential applications and limitations for adoption. We tested a long-range wide area network (LoRa-WAN) precision livestock system over 3 mo (April–June 2020) in a ranch in southwest New Mex- ico, USA. The system monitors cattle position and move- ments, precipitation, and water trough water levels at pas- ture and ranch scales, in real time. Materials and Methods: Here we describe the com- ponents of the system and share what we have learned from our preliminary experiences. This system included a solar-power LoRa-WAN receiving station with the cor- responding gateway, radio frequency antenna (824–894 MHz), and Wi-Fi bridge for data transmission into the Internet. The testbed network for testing LoRa-WAN sen- sors included 43 GPS-trackers deployed on lactating beef cows and 2 environmental sensors used to monitor precipi- tation regimens and trough water levels, respectively. Results and Discussion: The system collected data consistently for the trough levels and precipitation, where- as data from the cow GPS-trackers was highly heteroge- neous. On average, 46 ± 4% of daily data packets logged by GPS-trackers were successfully transmitted through the LoRa-WAN system, exceeding 80% of successful trans- mission in several cases. This report documents the neces- sary infrastructure, performance, and maintenance of sys- tem components, which could be of significant information value to ranchers and researchers with a desire to deploy similar monitoring systems. Implications and Applications: This Technical Note documents the implemetation of a LoRa-WAN monitoring system at the ranch scale for a 3-mo period. The system has allowed the ranch manager and assisting staff to ef- ficiently manage cattle inventories and promptly address animal welfare concerns. However, further research is re- quired to assess the scalability of this system across com- mercial operating cattle ranches in the Southwest United States, thereby unlocking its potential for broader adop- tion and effect.
KW - precision livestock farming, precision grazing management, digital agriculture, beef cattle, GPS tracking, rain gauge sensor, water level sensor
KW - precision livestock farming
KW - beef cattle
KW - rain gauge sensor
KW - water level sensor
KW - GPS track- ing
KW - precision grazing management
KW - digital agriculture
UR - http://www.scopus.com/inward/record.url?scp=85168922369&partnerID=8YFLogxK
U2 - 10.15232/aas.2023-02406
DO - 10.15232/aas.2023-02406
M3 - Technical brief
VL - 39
T3 - Applied Animal Science
BT - Deployment of a LoRa-WAN near-real-time precision ranching system on extensive desert rangelands: What we have learned
PB - Elsevier
ER -