Fecha de publicación: 18/11/2022 Fuente: Wipo "precision farming" Smart farming with precise greenhouses monitoring in a range of scenarios are vital for improved agricultural growth management. The Internet of Things (IoT) ushers in a modern age in computer networking that is gaining traction. This Invention demonstrated a precise control of sensing parameters in a smart greenhouse agriculture system using a regression-based supervised machine learning approach. The proposed scheme is made up of four main components, cloud layer, fog layer, edge layer, and sensor layer. As a result of the findings, it appears that the greenhouse might be operated remotely for CO2, soil moisture, temperature, Humidity, and light, resulting in improved management. Overall implementation is remotely monitored via IoT using MQTT, and sensor data is analyzed for its normal and anomaly behavior. Then, for effective computation over the cloud layer, analytics, and decision-making system has been developed at the fog layer and constructed using supervised machine learning algorithms for precise management using regression modeling methods.