The IoT-based weighing system for growth monitoring and evaluation of fattening process in beef cattle farm

This study investigated a tracking model to evaluate growth efficiency of beef cattle, an amount of 60 male cows, with 18-20 month age, an average body weight of 350-400 kg was feeding program for 120 days experiment in measuring growth performance. The cattle were divided into four groups: Charolais, Charbray (Cross Charolais and Brahman), Brahman, and Native Thai group. This study focuses on analyzing and processing the data collection which design weighing scale process by identification from using RFID ear tag (radio-frequency identification) in cow individuals. That processing connects with the Internet of Things system (IoT) to collect weighing aggregate data of individual cows, with precision in real-time. Therefore, the design system provides a support process for decision-making in the beef cattle data traceability system. The objective of this study designed to evaluate growth in a cow's weight by comparing the cost-effectiveness of generating profits in total operating cost especially, the fattening process. This design system was implemented in Northern Thailand with a local beef cattle farm by the execution of appropriated technology context. The result shows that this study shows the positive result of farming support system development in terms of cows weighing track and cost-efficiency analysis of fettering process.