Development of smart chicken poultry farm

In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm & Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia. In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm & Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia.

[1]  Zohaib Mushtaq,et al.  Environment Control System for Livestock Sheds Using Fuzzy Logic Technique , 2016, 2016 3rd International Conference on Information Science and Control Engineering (ICISCE).

[2]  H. Fu,et al.  Low Temperature Cross-Sensitivity Humidity Sensor Based on a U-Shaped Microfiber Interferometer , 2017, IEEE Sensors Journal.

[3]  Teddy Surya Gunawan,et al.  Development of modular smart farm system , 2017, 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA).

[4]  Kofi A. A. Makinwa,et al.  A resistor-based temperature sensor for a real time clock with ±2ppm frequency stability , 2014, ESSCIRC 2014 - 40th European Solid State Circuits Conference (ESSCIRC).

[5]  Ning Li,et al.  A QCM Humidity Sensors Based on GO/Nafion Composite Films With Enhanced Sensitivity , 2016, IEEE Sensors Journal.

[6]  Fuqiang Liu,et al.  Design Mini-PLC based on ATxmega256A3U-AU microcontroller , 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.

[7]  G. Scandurra,et al.  Detection of ammonia at ppm levels using titanium dioxide/polyaniline films deposited on plastic sheets , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[8]  Jörg Gebhardt,et al.  Non-invasive, energy-autonomous and wireless temperature sensor for the process industy , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

[9]  Hakan Erden,et al.  Livestock Monitoring System , 2015, 2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics).

[10]  Teddy Surya Gunawan,et al.  Performance Evaluation of Smart Home System using Internet of Things , 2018 .