Msc-IoT Thesis done

IoT based smart poultry monitoring and egg production prediction system

Poultry farming plays a big role in reducing malnutrition problem due to the nourishment found in the chicken meat and eggs which make eggs and chicken meat more consumable and it makes poultry farming profitable to the poultry farmers. However, the parameters such as humidity, temperature, light intensity, gas such as ammonia and carbon dioxide, availability of food, and water have great effect on laying hens. For example, when the laying hens don’t have enough water they become dehydrated and produce fewer eggs and they may stop laying completely. Therefore, there is a need to monitor and control environmental parameters in poultry house for making hens live well and productive as appropriate. The purpose of this thesis is to help farmers to manage the farm efficiently, to facilitate poultry data record, reduce manual labor and to increase productivity. Internet of Things (IoT) based smart poultry monitoring and egg production prediction system consists of sensors which collect poultry house related data and transfer those data to cloud and to web. For any required intervention from the farmer, the notifications will be sent through Short Messaging Service(SMS). This prototype would be used to control poultry operational.
Using IoT, the intelligent system was developed to capture data from sensors such as water level, gas, temperature, humidity, light intensity, egg counter, which are connected to the microcontroller equipped with GSM module for connecting system to internet through GPRS and sending SMS messages. This smart solution helps in keeping up the farm with the better conditions to the chickens and it helps in prediction for later egg production based on current production and changes in parameters with minimal human effort. The data related to poultry farm with the state of environment is maintained at servers and analyzed for egg production in the future in the form of insights and can be retrieved as per need.
Keywords: Poultry farming, Eggs prediction, IoT, Microcontroller unit, Sensors, Cloud computing, Wireless communication.