Imagens derivadas de aeronaves remotamente pilotadas compondo protocolo de avaliação de maturação da soja para fins de manejo agrícola
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Data
2020-03-25
Autores
Miranda Junior, Pedro Lopes
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Universidade Federal de Mato Grosso
Resumo
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.
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MIRANDA JUNIOR, Pedro Lopes. Imagens derivadas de aeronaves remotamente pilotadas compondo protocolo de avaliação de maturação da soja para fins de manejo agrícola. 2020. 81 f. Dissertação (Mestrado em Gestão e Tecnologia Ambiental) - Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Tecnológicas, Rondonópolis, 2020.