Commercial Prototyping of IoT based Poultry System at Narshindi Turkey Firm

January 14, 2018

From 7 January 2018, a team from IoT department started commercial prototyping of IoT based Poultry System at a turkey farm in Narshindi. The farm sells full grown turkeys as well as poults. The farm consists of multiple incubators to hatch poults from eggs and brooders to raise those freshly hatched poults. The owner of the farm find out about our smart brooding management system from the digital world fair 2017 and was very interested to implement our system in his farm as  more than 20% of his 0-30 days old turkeys are dying mostly due to inefficient environment control inside the brooder .

The farm maintains 3 types of brooders for 0-10 days, 10-20 days and 20-30 days old poults. They use two 200w bulbs and two 100w bulbs to keep the brooders warm. The caretaker of the brooder room uses a manual thermometer to check the temperature of the brooders manually. The electricity cost to maintain the brooders is more than 7000 BDT per month.

Turkey farming is less expensive than chickens. According to the Narshindi Turkey Farm it costs only 20BDT per turkey on feeding in the first month. They also sells 2 days old poults for 1500 BDT a pair and supply frozen meat from fully grown turkeys to super shops like Shawpno, Agora and other local super markets. Turkeys’ growth rate is faster than chickens so a full grown turkey weigh around 20-21 kilograms. Turkey meat is also low cholesterol and healthier than chicken. Current selling price of a turkey is around 500-550 BDT per kilo in Bangladesh.

Our Solution:

We are running a pilot project to solve different issues concerning turkey farming with our IoT solution. Our solution controls the temperature, humidity and gas level inside the brooder. Temperature sensor will sense the temperature inside the brooder then accordingly so that all the light bulbs won’t have to be turned on all the time and thus the electricity is managed efficiently. It is also very important to detect the carbon-di-oxide level inside the brooder so when the CO2 level increases then the optimal level the exhaust fans will turn on atomically. The owner will also receive a mobile application so that he can monitor the whole system from anywhere. Our main strength is the data we are storing in our database. The system is sending data of the environment of the system every 5 minutes through the server and we are receiving 288 readings every day. This data will help us make the system more intelligent in future where through data analytics we don’t need to set the parameters manually or threshold values but the system itself will be able to decide the values to work with.

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