Skip to main content

Intelligent Monitoring Systemof Environmental Biovariables in Poultry Farms

  • Conference paper
  • First Online:
Intelligent Systems and Applications (IntelliSys 2020)

Abstract

Modern technologies in poultry farming prevail over many limitations of traditional methods; thus they help reducing labor costs and increase productivity. In Ecuador, most poultry farms have modest systems capable of monitoring variations in temperature, humidity and gas concentrations caused by the generation of chicken manure in closed environments, which creates a stressful atmosphere affecting the health of broilers during breeding stage; therefore there is a palpable loss of money and productivity. This project presents an intelligent monitoring system composed of a star type sensor network for environmental monitoring variables in the poultry farm. Long Range Technology (LoRa) is used for the system communication, information is gathered and stored in a cloud database and then processed to be visualized through historical trends storage and alarm reporting creating an affordable and easy interpretable solution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Global hunger continues to rise, new un report says. Technical report, Food and Agriculture Organization of the United Nations (FAO) (2018). Accessed 25 Oct 2019

    Google Scholar 

  2. Quintero, R., Romero, R., Sánchez, M.: Gestion de Inventarios en la industria avicola zuliana, 17(32), 99–112 (2015)

    Google Scholar 

  3. Sitaram, K., Ankush, K., Anant, K., Raghunath, B.: IoT based smart management of poultry farm and electricity generation. In: 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1–4, Madurai (2018)

    Google Scholar 

  4. Comercialización del Mercado avícola en Ecuador, reporte por parte de la superintendencia del Control y Poder de Mercado del Ecuador. Technical report, Estudio de Mercado Avícola enfocado a la Comercialización del Pollo en Pie, año 2012-2014 (2014). Accessed 25 Oct 2019

    Google Scholar 

  5. Yancha, M.: Plan Integral De Manejo, Control Y Aprovechamiento de Residuos Sólidos Orgánicos en La Compañía Productora Avícola Cajamarca Suárez Cavicente Cía. Ltda. Universidad Técnica de Ambato, Ambato, Ecuador, Thesis (2017)

    Google Scholar 

  6. Sravanth, K., Sudharson, A.: Internet based smart poultry farm. Indian J. Sci. Technol. 8(19), IPL101 (2015)

    Google Scholar 

  7. Choukidar, G., Dawande, N.: Smart poultry farm automation and monitoring system. In: 2017 International Conference on Computing, pp. 1–5. Communication, Control and Automation (ICCUBEA), Pune (2017)

    Google Scholar 

  8. Ávila, E., Carmona, J., Castañeda, M., Cortés, A.: Introduccińn a la zootecnia del pollo y la gallina, 1era edicion. Vol. 1, Ed. Mexico: LDCV F. Avril Braulio Ortiz, pp. 135–142 (2018)

    Google Scholar 

  9. Manshor, N., Rahiman, A., Yazed, M.: IoT based poultry house monitoring. In: 2019 2nd International Conference on Communication Engineering and Technology (ICCET), pp. 72–75, Nagoya (2019)

    Google Scholar 

  10. Islam, M., Islam, A., Islam, M.: Variation of biogas production with different factors in poultry farms of Bangladesh. In: 2014 3rd International Conference on the Developments in Renewable Energy Technology (ICDRET), pp. 1–6, Dhaka (2014)

    Google Scholar 

  11. Vadivel, R., Parthasarathi, R., Navaneethraj, A., Sridhar, P., Muhammad-Nafi, K., Karan, S.: Hypaponics-monitoring and controlling using Internet of Things and machine learning. In: 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), pp. 1–6, Chennai (2019)

    Google Scholar 

  12. Ammad-uddin, M., Ayaz, M., Aggoune, E., Sajjad, M.: Wireless sensor network: a complete solution for poultry farming. In: 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), pp. 321–325, Langkawi (2014)

    Google Scholar 

  13. Erazo-Rodas, M., Sandoval-Moreno, M., Muñoz-Romero, S., Huerta, M., Rivas-Lalaleo, D., Naranjo, C., Rojo-Álvarez, J.L.: Multiparametric monitoring in equatorian tomato greenhouses (I): wireless sensor network benchmarking. Sensors (Basel, Switz.) 1–22 (2018)

    Google Scholar 

  14. Erazo-Rodas, M., Sandoval-Moreno, M., Muñoz-Romero, S., Huerta, M., Rivas-Lalaleo, D., Rojo-Álvarez, J.L.: Multiparametric monitoring in equatorian tomato greenhouses (II): energy consumption dynamics. Sensors (Basel, Switz.) 1–36 (2018)

    Google Scholar 

  15. Erazo-Rodas, M., Sandoval-Moreno, M., Muñoz-Romero, S., Huerta, M., Rivas-Lalaleo, D., Rojo-Álvarez, J.L..: Multiparametric monitoring in equatorian tomato greenhouses (III): environmental measurement dynamics. Sensors (Basel, Switz.) 1–36 (2018)

    Google Scholar 

  16. Raj, A., Jayanthi, J.: IoT-based real-time poultry monitoring and health status identification. In: 2018 11th International Symposium on Mechatronics and its Applications (ISMA), pp. 1–7, Sharjah (2018)

    Google Scholar 

  17. Guillermo, J., García-Cedeño, A., Rivas-Lalaleo, D., Huerta, M., Clotet, R.: IoT architecture based on wireless sensor network applied to agricultural monitoring: a case of study of cacao crops in Ecuador. In: Advances in Intelligent Systems and Computing, pp. 42–57 (2018)

    Google Scholar 

  18. Abad, J., Farez, J., Chasi, P., Guillermo, J., Garcıa-Cedeño, A., Clotet, R., Huerta, M.: Coffee crops variables monitoring: a case of study in Ecuadorian Andes. In: Advances in Intelligent Systems and Computing, pp. 202–217 (2018)

    Google Scholar 

  19. Kalezhi, J., Mbale, J., Ndovi, L.: Microcontroller-based monitoring and controlling of environmental conditions in farming. In: 2018 IEEE PES/IAS PowerAfrica, pp. 284–288, Cape Town (2018)

    Google Scholar 

  20. González, C., Pardo, R., Fariña, J., Valdés, M., Rodríguez-Andina, J., Portela, M.: Real-time monitoring of poultry activity in breeding farms. In: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp. 3574–3579, Beijing (2017)

    Google Scholar 

  21. Sarachai, W., Ratnapinda, P., Khumwichai, P.: Smart notification system for detecting fan failure in evaporative cooling system of a poultry farm. In: 2019 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT-NCON), pp. 296–299, Nan (2019)

    Google Scholar 

  22. Qun, Y., Zhang, Y., Wang, X., Zhou, Z., Xian, P., Zhang, F.: Research on master-slave distributed large-scale poultry farming measurement and control system. In: 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 552–557, Atlanta (2019)

    Google Scholar 

  23. Dottavio, A., Di-Masson, R., Khumwichai, P.: Mejoramiento avicola para sistemas productivos semi-intensos que preservan el binestar animal. BAG J. Basic Appl. genectics 1–10 (2015)

    Google Scholar 

  24. Ministerio de Agricultura, Ganadería, Acuacultura y Pesca (MAGAP). "Manual de aplicabilidad de buenas prácticas avícolas (2016). Accessed 25 Oct 2019

    Google Scholar 

  25. Rivas-Lalaleo, D., Muñoz-Romero, S., Huerta , M., Erazo-Rodas, M., Sandoval-Moreno, J.J., Rojo-Álvarez, J.L., et. al.: Force trends and pulsatility for catheter contact identification in intracardiac electrograms during arrhythmia ablation. Sensors (Basel, Switz.), 1–22 (2018)

    Google Scholar 

  26. Organización Internacional de Normalización. “Norma Internacional ISO/IEC 17025: Requisitos generales para la competencia de los laboratorios de ensayo y de calibración", (2005). Accessed 25 Oct 2019

    Google Scholar 

Download references

Acknowledgment

The authors thank the Universidad de las Fuerzas Armadas ESPE and Wicom Energy investigation group, to the project number 008-007-2017-07-27: “PLATANO Plataforma Tecnológica Inteligente de Apoyo para pequeños y medianos productores agrícolas”, led by the Universidad Politécnica Salesiana.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Gabriela Chiluisa-Velasco , Johana Lagla-Quinaluisa , David Rivas-Lalaleo or Marcelo Alvarez-Veintimilla .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chiluisa-Velasco, G., Lagla-Quinaluisa, J., Rivas-Lalaleo, D., Alvarez-Veintimilla, M. (2021). Intelligent Monitoring Systemof Environmental Biovariables in Poultry Farms. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_29

Download citation

Publish with us

Policies and ethics