Development of livestock feeding and temperature monitoring system using LoRa IoT platform

Mat Intan, Siti Khatijah (2021) Development of livestock feeding and temperature monitoring system using LoRa IoT platform. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The livestock sector is one of the important sectors in Malaysia and over the world for supplying food. To provide high quality and quantity of this sector especially for chicken livestock, the food, temperature, and environment need to be maintained optimally for getting the best quality of chicken especially their size and ideal weight. It also help to prevent from chicken diseases. Therefore, in this project we proposed a LoRa IoT-based livestock feeding and temperature monitoring system has been built to keep track of the livestock. RFID in a feeding system is utilising to keep track of whether or not the chickens eat. For loadcell, used to monitor the status of the food container. Once the mass of food in container is below 100g the servo motor turn ON and the food automatically refill. The ultrasonic used to monitor the status of the food storage and it is will send the notifications to the used for restock the food in food storage. To obtain the greatest grade of chicken, the chicken must consume a specified amount of food. Chickens are delicate creatures that require a consistent temperature and humidity in their cage to live a long and healthy existence. As a result, the is utilised to monitor and manage the chicken's temperature and humidity. MQ2 will be used to detect ammonia and carbon dioxide levels. It is used to determine whether or not chicken food is fit to eat. It also ensures that the amount of ammonia is minimal, as large levels of ammonia harm the chicken's respiratory system. The DC fan is used to remove unclean air from the chicken cage. All of the systems were built with LoRa IoT and connected to a NodeMCU ESP8266 for data transmission and reception. The Blynk app is used to display all of the data received.

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