Emprego do sensoriamento remoto no monitoramento de plantas daninhas na cultura da cana-de-açúcar

Abstract

As sugar cane is a crop of great importance, there are several factors, including the infestation of plots by weeds, which can lead to a significant loss in productivity. New technologies based on precision agriculture have been developed with the aim of demonstrating the effectiveness of using satellite images and drones in monitoring weeds in sugarcane cultivation, mapping the areas to be monitored. The use of remote sensing, using RGB, NDVI indices and Drone images, to identify the presence of weeds. The difference in color shown in the images obtained helps in the monitoring process, and subsequently a form of local inspection, to identify infestations. Despite the need for physical inspection to identify the species found in the areas, the assertiveness indices of using platform to identify the presence of weeds obtained good assertiveness.