IoT Based Smart Monitoring System for Efficient Poultry Farming

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This paper presents a smart system using Internet of things (IoT) for monitoring and controlling environmental conditions of poultry farming. Environmental parameters such as temperature, humidity, and air quality in a poultry house which are vital for the survival of poultry birds were monitored in order to adequately nurture poultry birds, reduce mortality rate and improve production. The system utilizes ESP32 microcontroller which has embedded Wi-Fi function, DHT11 temperature and humidity sensor, the PIR motion detector sensor, and MQ135 gas detector sensor. In addition, a buzzer was added to alert the farmer in the event of an intruder, while the integrated Wi-Fi unit would send a message to the farmer. Furthermore, the proposed system controls the brightness of a lamp inside the poultry house to either increase or reduce its temperature. This work which is a prototype, was implemented in a small poultry house. All the tests carried out illustrated that the designed system is sufficient and that the aim has been achieved.

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Technical Report
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Traditional animal production techniques are usually labour intensive and driven by very slim margins. These margins are subject to variables such as meat and milk prices, growth rates of animals, governmental policy changes and seasonal changes in cereal and crop prices, coupled with the volatile risk of infectious disease resulting in livestock losses, increased veterinary inputs and reduced meat prices. However, the world population is rapidly increasing; world meat production is predicted to double by 2050 (FAO, 2009). As a result, farming techniques are shifting towards intensification, with farmers producing growing numbers of animals on the same quantity of land.
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As the world’s population increases, demand for poultry products will continue to increase. To meet this demand, one candidate mechanism to increase production is to increase housing and manage more birds. However, this practice, along with labour shortages and increasing biosecurity practices will make it increasingly difficult for producers to monitor the production, health, and welfare status of all their birds. Employing smart poultry management systems is necessary to increase production while minimizing costs and the use of resources. Smart poultry management systems include precision livestock farming (PLF) technologies such as smart sensors, automation of farm processes, and data driven decision making platforms. Many new technologies will have great implications for poultry production in the areas of the poultry house environment, bird welfare, precision feeding, and rapid detection of infectious disease. As smart sensors collect data in real-time on a variety of parameters from poultry operations, large amounts of data will be generated. To make best use of this data, big data analytical tools must be employed to produce data driven decisions. Additionally, the devices that will be incorporated into smart poultry management systems will be connected to the Internet allowing for the formation of Internet of things (IoT) farm networks. IoT technologies allow for communication between farm sensors, devices, and equipment, and will lead to the automation of multiple farm procedures. The following review discusses the areas of impact that new smart sensor technologies will have on poultry operations and describes how sensor technology is related to big data analytics and IoT systems, and how these technologies can enhance production in the poultry industry. Additionally, challenges to the described systems and technologies will also be highlighted and discussed.
The topics discussed in this paper are the changing demand for meat and the factors that influence this demand. These factors include increased health concerns, change in demographics, the need for convenience, changes in the distribution of meat, and price. Finally, the paper covers the meat industry's need for understanding the consumer and the measurement methods used to assess consumer preferences.
Canadian poultry -precision livestock farming
  • K Dallimore
Dallimore, K. (2017). Canadian poultry -precision livestock farming.
Smart Poultry Farm Monitoring Using IOT and Wireless Sensor Networks
  • R B Mahale
  • S S Sonavane
Mahale, R.B. and Sonavane, S.S. (2016). Smart Poultry Farm Monitoring Using IOT and Wireless Sensor Networks. International Journal of Advanced Research in Computer Science, 7(3), 187-190.