Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology
Keywords:
remote monitoring, LoRa wireless ad hoc network, livestock environment, environment information, systemAbstract
The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals. To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding, the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology. The system consisted of collection terminals, control terminals, LoRa gateways, and Alibaba Elastic Compute Service. It realized real-time collection, wireless transmission, storage of multi-sensor node data, and remote control. The system was not limited by the selected time or region, because data interaction was achieved by accessing cloud servers using GPRS technology. Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage. Additionally, the system used the improved receiver-based auto rate (RBAR) rate-adaptive algorithm in the LoRa wireless communication component. After application on a dairy farm, the results showed that the whole system collected 6140 sets of environmental data from four dairy houses. The packet loss rate was less than 1% within a communication distance of 604 m, and the communication success rate was greater than 99%. The control instructions were real-time and accurate, and the response time was less than 10 s, which met the remote control needs of large farms. The system provided powerful data and technical support for precision animal production. Keywords: remote monitoring, LoRa wireless ad hoc network, livestock environment, environment information, system DOI: 10.25165/j.ijabe.20221504.6708 Citation: Fu X, Shen W Z, Yin Y L, Zhang Y, Yan S C, Kou S L, et al. Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology. Int J Agric & Biol Eng, 2022; 15(4): 79–89.References
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[17] Sadowski S, Spachos P. Wireless technologies for agricultural monitoring using Internet of Things devices with energy harvesting capabilities. Computers and Electronics in Agriculture, 2020; 172: 105338. doi: 10.1016/j.compag.2020.105338.
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[20] Vangelista L. Frequency shift chirp modulation: The LoRa modulation. IEEE Signal Processing Letters, 2017; 24(12): 1818–1821.
[21] DB11/T 426-2007. Environmental quality for cowhouse and field and buffer area of breeding dairy cattle livestock farms, 2017.
[22] Xiong Y, Meng Q S, Gao J, Tang X F, Zhang H F. Effects of relative humidity on animal health and welfare. Journal of Integrative Agriculture, 2017; 16(8): 1653–1658.
[23] Qi H. Investigation and analysis on feeding and environment management for high-yield-dairy farm in cold region. Master dissertation. Harbin, China: Northeast Agricultural of University, 2013; 54p.
[24] Vtoryi V, Vtoryi S, Gordeev V, Lantsova E. Carbon dioxide emission from cattle manure removed by scrapers. In: 16th International Scientific Conference Engineering for Rural Development, Russia, 2017; pp.328–332. doi: 10.22616/ERDev2017.16.N064.
[25] Karandušovská I, Mihina Š, Bošanský M. Impact of construction and technological solution of dairy cows housing on production of ammonia and greenhouse gases in winter. Research in Agricultural Engineering, 2016; 61: S13–S20.
[26] Jentsch W, Piatkowski B, Derno M. Relationship between carbon dioxide production and performance in cattle and pigs. Archiv Fur Tierzucht, 2009; 52(5): 485–496.
[27] Cambra L M, Aarnink A, Zhao Y, Salvador C, Antonio G T. Airborne particulate matter from livestock production systems: A review of an air pollution problem. Environmental Pollution, 2010; 158(1): 1–17.
[28] Li G F, Yang H P, You B, Cui K Z. Effects of illumination time on lactation and feed performance of dairy cows. Journal of Domestic Animal Ecology, 2009; 30(4): 37–39. (in Chinese)
[29] Scibilia L S, Muller L D, Kensinger R S, Sweeney T F, Shellenberger P R. Effect of environmental temperature and dietary fat on growth and physiological responses of newborn calves. Journal of Dairy Science, 1987; 70(7): 1426–1433.
[30] Justin L R, Justin D D, Matt A S, Mark K P, Lance T V, John R H, et al. Seasonal temperature and precipitation effects on cow-calf production in northern mixed-grass prairie. Livestock Science, 2013; 155: 355–363.
[31] Meng Y J, Qin S D, Zhao J, Luan D M. Research on thermal environment of greenhouse calf barn in cold region. Journal of Domestic Animal Ecology, 2014; 35(5): 75–79. (in Chinese)
[32] Hillman P, Gebremedhin K, Warner R. Ventilation system to minimize airborne bacteria, dust, humidity, and ammonia in calf nurseries. Journal of Dairy Science, 1992; 75(5): 1305–1312.
[33] Sébastien F, Alain N R, Benoit L. Rethinking environment control strategy of confined animal housing systems through precision livestock farming. Biosystems Engineering, 2017; 155: 96–123.
[2] Report of 2021-2026 market perspective and investment strategy planning on China animal husbandry. Available: https://www.qianzhan.com/ analyst/detail/220/190717-12ce4997.html. Accessed on [2019-07-17].
[3] Young B A. Cold stress as it affects animal production. Journal of Animal Science, 1981; 52(1): 154–163.
[4] Luan D M, Qi H, Zhao J, Zhang Y G. Design and application effect of greenhouse calf barn in cold region. Transactions of the CSAE, 2013; 29(14): 195–202. (in Chinese)
[5] Mader T L, Johnson L J, Gaughan J B. A comprehensive index for assessing environmental stress in animals. Journal of Animal Science, 2010; 88(6): 2153–2165.
[6] Alonso R S, Sitton C I, Garcia A, Prieto J, Rodriguez G S. An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario. Ad Hoc Networks, 2020; 98(5): 102047. doi: 10.1016/j.adhoc.2019.102047.
[7] Saravanan K, Saraniya S. Cloud IOT based novel livestock monitoring and identification system using UID. Sensor Review, 2017; 38(1): 21–33.
[8] Astill J, Dara R, Fraser E, Roberts B, Sharif S. Smart poultry management: Smart sensors, big data, and the internet of things. Computers and Electronics in Agriculture, 2020; 170: 105291. doi: 10.1016/j.compag.2020.105291.
[9] Long C J, Tan H Q, Zhu M, Xin R, Tan G S, Huang P Z. Development of mobile intelligent monitoring platform for livestock and poultry house. Transactions of the CSAE, 2021; 37(7): 68–75. (in Chinese)
[10] Zhu W X, Dai C Y, Huang P. Environmental control system based on IOT for nursery pig house. Transactions of the CSAE, 2012; 28(11): 177–182. (in Chinese)
[11] Wang J J, Gao Y, Lei M G, Tong Y, Li X, Wu Y T, et al. Design of a piggery environment monitoring system in the wireless Mesh network. Journal of Huazhong Agricultural University, 2015; 34(6): 130–135. (in Chinese)
[12] Sanchez S F, Cano O A. Smart regulation and efficiency energy system for street lighting with LoRa LPWAN. Sustainable Cities and Society, 2021; 70(3): 102912. doi: 10.1016/j.scs.2021.102912.
[13] Hassan W, Fre M, Ulvund J, Alfredsen J. Internet of Fish: Integration of acoustic telemetry with LPWAN for efficient real-time monitoring of fish in marine farms. Computers and Electronics in Agriculture, 2019; 163: 104850. doi: 10.1016/j.compag.2019.06.005.
[14] Xie C J, Zhang D X, Yang L, Cui T, Ding Z L. Remote monitoring system for maize seeding parameters based on Android and wireless communication. Int J Agric & Biol Eng, 2020; 13(6): 159–165.
[15] Fernando M O, Thales T, Ferreira A E, Costa L H. Experimental vs. simulation analysis of LoRa for vehicular communications. Computer Communications, 2020; 160: 299–310.
[16] Rashmi S S, Wei Y Q, Seung H H. A survey on LPWA technology: LoRa and NB-IoT. ICT Express, 2017; 3(1): 14–21.
[17] Sadowski S, Spachos P. Wireless technologies for agricultural monitoring using Internet of Things devices with energy harvesting capabilities. Computers and Electronics in Agriculture, 2020; 172: 105338. doi: 10.1016/j.compag.2020.105338.
[18] Badreddine M, Bourennane E B, Samia B, Salim C. A study of LoRaWAN protocol performance for IoT applications in smart agriculture. Computer Communications, 2020; 164: 148–157.
[19] Andres V Z, Fabian A S, Christian S, Braulio A, Minchala L I. Experimental Evaluation of RSSI-based Positioning System with Low-cost LoRa Devices. Ad Hoc Networks, 2020; 105: 102168. doi: 10.1016/j.adhoc.2020.102168.
[20] Vangelista L. Frequency shift chirp modulation: The LoRa modulation. IEEE Signal Processing Letters, 2017; 24(12): 1818–1821.
[21] DB11/T 426-2007. Environmental quality for cowhouse and field and buffer area of breeding dairy cattle livestock farms, 2017.
[22] Xiong Y, Meng Q S, Gao J, Tang X F, Zhang H F. Effects of relative humidity on animal health and welfare. Journal of Integrative Agriculture, 2017; 16(8): 1653–1658.
[23] Qi H. Investigation and analysis on feeding and environment management for high-yield-dairy farm in cold region. Master dissertation. Harbin, China: Northeast Agricultural of University, 2013; 54p.
[24] Vtoryi V, Vtoryi S, Gordeev V, Lantsova E. Carbon dioxide emission from cattle manure removed by scrapers. In: 16th International Scientific Conference Engineering for Rural Development, Russia, 2017; pp.328–332. doi: 10.22616/ERDev2017.16.N064.
[25] Karandušovská I, Mihina Š, Bošanský M. Impact of construction and technological solution of dairy cows housing on production of ammonia and greenhouse gases in winter. Research in Agricultural Engineering, 2016; 61: S13–S20.
[26] Jentsch W, Piatkowski B, Derno M. Relationship between carbon dioxide production and performance in cattle and pigs. Archiv Fur Tierzucht, 2009; 52(5): 485–496.
[27] Cambra L M, Aarnink A, Zhao Y, Salvador C, Antonio G T. Airborne particulate matter from livestock production systems: A review of an air pollution problem. Environmental Pollution, 2010; 158(1): 1–17.
[28] Li G F, Yang H P, You B, Cui K Z. Effects of illumination time on lactation and feed performance of dairy cows. Journal of Domestic Animal Ecology, 2009; 30(4): 37–39. (in Chinese)
[29] Scibilia L S, Muller L D, Kensinger R S, Sweeney T F, Shellenberger P R. Effect of environmental temperature and dietary fat on growth and physiological responses of newborn calves. Journal of Dairy Science, 1987; 70(7): 1426–1433.
[30] Justin L R, Justin D D, Matt A S, Mark K P, Lance T V, John R H, et al. Seasonal temperature and precipitation effects on cow-calf production in northern mixed-grass prairie. Livestock Science, 2013; 155: 355–363.
[31] Meng Y J, Qin S D, Zhao J, Luan D M. Research on thermal environment of greenhouse calf barn in cold region. Journal of Domestic Animal Ecology, 2014; 35(5): 75–79. (in Chinese)
[32] Hillman P, Gebremedhin K, Warner R. Ventilation system to minimize airborne bacteria, dust, humidity, and ammonia in calf nurseries. Journal of Dairy Science, 1992; 75(5): 1305–1312.
[33] Sébastien F, Alain N R, Benoit L. Rethinking environment control strategy of confined animal housing systems through precision livestock farming. Biosystems Engineering, 2017; 155: 96–123.
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Published
2022-09-04
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Fu, X., Shen, W., Yin, Y., Zhang, Y., Yan, S., Kou, S., … Jacqueline, M. (2022). Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology. International Journal of Agricultural and Biological Engineering, 15(4), 79–89. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6708
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Animal, Plant and Facility Systems
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