Fecha de publicación: 22/04/2022 Fuente: Wipo "precision farming" The present invention is a system for precision farming that uses machine learning concepts and the IoT equipment thereof. The present invention consists of a sensor to record the humidity in soil; a sensor to monitor the atmospheric pressure; and a sensor for checking the soil quality and composition. The component of the system has a microprocessor for processing and display to show the output values. A present invention is a powerful tool that informs farmers about the seed quality and seed type for ploughing and planting. The system takes the inputs from the sensor and machine learning algorithms will compute the result to suggest the most appropriate crop based on the season, soil composition, and cost. The main approach used behind the system is the machine learning algorithms, and IOT supported equipment. Figure 1 and figure 2 describe the details of the present invention.