Abstract:
Poultry farming plays a big role in reducing malnutrition problems due to the nourishment found in the chicken meat and eggs. Eggs and chickens are more consumable which makes poultry farming profitable to the poultry farmers. However, the parameters such as humidity, temperature, light intensity, gases such as ammonia and carbon dioxide, availability of food, and water have great effect on the quantity of eggs that hens lay in a given period. For example, when the laying hens don’t have enough water, they become dehydrated and produce fewer eggs and they may even stop laying completely. Therefore, there is a need to monitor and control environmental parameters in poultry houses for making hens live well and more productive by laying as many as eggs they can. The purpose of this project is to help farmers to manage their farms efficiently, to facilitate poultry data record, to reduce manual labor, and to increase productivity. To reach this purpose, this project used Internet of Things (IoT) based in smart poultry monitoring and egg production prediction system. The prototype 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 Global System for Mobile communication (GSM) module for connecting system to internet through General Packet Radio Service (GPRS) and sending SMS messages. This is a smart solution that helps in keeping up the farm with the better conditions to the chickens and helps in prediction for eggs 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. For this project data related to how poultry farming operational are performed were collected using interview, observation, documentation and questionnaire methods.
