A Novel Approach for BMI and Nutrition Monitoring of Dairy Farm Using IoT

In this research article, an Internet of Things (IoT)-based sensor system is used to measure the weight of cattle. This system is composed of a load cell sensor, a microcontroller, and a wireless communication module. So the load cell sensor is placed under cow feet and a load cell sensor that will be measuring weight, will send this data to the microcontroller side where all unprocessed (just measured) cumulative loads of cattle become processed, filter out unnecessary results later on the wireless medium, transmission can be seen at server storage which implements cloud base. Specifically, we are designing the system to be cheap and low power (simple), but also simple to deploy over a variety of agricultural systems. Using the data to determine cattle growth, health, and feeding patterns can then allow the farmers to make a highly informed decision on how best to maximize their operations. This device allows farmers to track the health, and behavior of their cattle remotely alerting any unusual activity or potential health issues early on. Farmers can analyze the data generated by the system to provide better feeding and management of their livestock, ensuring that adequate nutrition and care are received. The other developed IoT technologies could also be combined with the system to create a comprehensive solution for precision livestock production. In conclusion, this proposed system could change the cattle industry by giving farmers crucial health and well-being information about their livestock. It can also help to make livestock farming more efficient and sustainable by enabling early detection of health problems as well as optimizing feeding, and management practices. Overall, there will be an advantage of using this recommended approach because it can improve the condition of animals, increase farm productivity, and promote environmentally friendly livestock production practices.