Fuente: Wipo "precision farming" [032] The present invention discloses a probabilistic modeling system for real-time farming system tracking, integrating Machine Learning (ML) and the Internet of Things (IoT). The system employs a network of IoT sensors to collect environmental and soil data, which is processed using probabilistic models such as Bayesian networks and Markov models to predict crop growth trends and resource requirements. Machine learning algorithms continuously refine these predictions based on historical and real-time data. A cloud-based dashboard provides real-time visualization, predictive analytics, and AI-generated recommendations for optimized farm management. The system enhances precision agriculture by enabling automated irrigation, fertilization, and pest control, improving resource efficiency and sustainability.Accompanied Drawing [FIGS. 1-2]