Fecha de publicación: 25/11/2022 Fuente: Wipo "precision farming" The present invention is a precision farming system that employs machine learning principles and associated Internet of Things (IoT) devices. Sensors for measuring soil moisture, air pressure, and soil quality and composition are all included in the present invention. An integral part of the system, the microprocessor processes data and displays the results on a screen. If farmers had access to accurate information about seed quality and seed type prior to ploughing and planting, they could make more informed decisions about their crops. Machine learning algorithms process sensor data to determine the optimal crop to grow based on factors like time of year, soil type, and budget. Machine learning algorithms and Internet of Things-enabled devices form the backbone of this system's methodology.