Imagens derivadas de aeronaves remotamente pilotadas compondo protocolo de avaliação de maturação da soja para fins de manejo agrícola

Abstract

The creation, improvement and diffusion of remote sensing techniques focusing on suborbital images collected through Remotely Piloted Aircraft (RPA), has advantages in several fields of application, particularly in the agricultural and environmental sectors. The research study area was the experimental field of a soybean seed production company in the rural area of Rondonópolis, MT. Suborbital images were used to quantify planting failures and area covered by soybeans, as an alternative technique to visual inspection of agricultural crops, aiming to decrease the operational cost of the activity, as well as subjectivity at the time of data collection. In four months, 1250 images were collected, generating 25 aerial image mosaics, for a total of 138.88 hours of flight with the RPA Phantom 4 Pro. In order to carry out the planting failure analyzes, two flights were performed using the RPA X 800 in two sample areas within the experimental area. The operational protocol adopted, indicates that the use of RPA decreases the financial costs and deadlines in the soybean management process in the field. On average, each 20-minute flight costs the company around R $ 21.60. A person in the field, collecting data visually and on foot would take around a day and a half, to cover the same area imagined, at a cost of approximately R $ 183.00. The quality of the data collected with RPA, lies in the fact that in each flight performed, there is a pre-calibration of the RPA sensors, thus ensuring that all photos are taken in the same way.