Fecha de publicación: -- Fuente: WIPO "tomato" A method for predicting a yield of a sugarcane planting machine is disclosed. The disclosed method accesses a target planting ratio quantifying a target ratio of billets to soil in a furrow over a distance. The disclosed method accesses image data representing the furrow in the field, and the image data comprises pixels representing billets and soil in the furrow. The disclosed method applies a machine-learned model to the accessed image data to classify the image data as billets or soil, and to calculate the current planting ratio quantifying a current ratio of billets to soil in the furrow over the distance. The disclosed method generates a visualization of the current planting ratio and the target planting ratio to display on the sugarcane planting machine.