Pig farming contributes significantly to the economic structure, helping reduce unemployment rates and improve the living standards of the people. Smart agriculture is increasingly shifting towards industrialization and modernization, and the management of large-scale livestock farming has become a top concern, especially in the context of labor shortages. To address this issue, this research utilizes surveillance cameras combined with artificial intelligence (AI) using the YOLO (You Only Look Once) algorithm to monitor the behavior of each pig. The results of practical research on pig farms show that the average accuracy of estimating pig weight exceeds 90%. Furthermore, the system is capable of tracking the daily behavior and activities of pigs, providing information on their movements, eating habits, and health status. Moreover, this research also helps farmers implement effective management measures, minimize risks and losses, and increase efficiency in the pig farming industry, actively contributing to the sustainable development of agriculture.