Fecha de publicación: 25/11/2022 Fuente: Wipo "precision farming" The present invention is a precision farming system that makes use of IoT devices and machine learning principles. The sensors of the present invention include those that record soil humidity, track atmospheric pressure, and analyse soil quality and composition. The system component's microprocessor handles data processing and output value display. The present invention is a useful instrument for edifying farmers concerning the quality and variety of seed for sowing and ploughing. Machine learning algorithms process sensor data to determine the best crop to plant based on factors like time of year, soil type, and budget. Machine learning algorithms and Internet of Things-enabled devices form the backbone of the system's methodology. The present invention is illustrated by Figure 1 and Figure 2.