Navegando por Autor "Silva, Adenilson de Souza da"
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- DissertaçãoAcesso aberto (Open Access)Aeronave remotamente pilotável na qualidade da aplicação(Universidade Estadual do Norte do Paraná, 2023-04-27) Silva, Adenilson de Souza da; Oliveira, Rone Batista de; https://orcid.org/0000-0002-3071-4827; http://lattes.cnpq.br/2379804514613050; Oliveira, Rone Batista de; https://orcid.org/0000-0002-3071-4827; http://lattes.cnpq.br/2379804514613050; Gandolfo, Marco Antônio; https://orcid.org/0000-0003-2314-3752; http://lattes.cnpq.br/5560552732033631; Baio, Fabio Henrique Rojo; https://orcid.org/0000-0002-9522-0342; http://lattes.cnpq.br/5720701444145747Global demand for food continues to rise, necessitating a continuous increase in agricultural production. This highlights the significant importance of the Brazilian agribusiness in the world. In light of this situation, a new application technology has been widely used worldwide: the application with Remotely Piloted Aircraft Systems (RPAs). There is not much information available about this technology, as research data obtained in Brazil is scarce, leading to inconsistent information generated without scientific support. This hinders more technical analysis of agronomic, environmental, and economic feasibility. The objective of this research was to study the effects of weather conditions, application rates, droplet classes, flight heights, and application speeds on the deposition and coverage of remotely piloted aircraft application. The experiment with application rates and droplet classes was conducted in a 2x2x4 factorial design, with two application conditions during the day (morning and afternoon), two droplet size classes (medium and coarse), and four application rates (5, 6.5, 8.5, 10 L ha-1). The experiments with flight heights and application speeds were set up in a 2x5 (two application conditions × five flight heights - 2, 3, 4, 5, and 6 meters) and 2x4 (two application conditions × four operation speeds - 3, 4, 5, and 6 m s-1) factorial design, both experiments at an application rate of 5 L ha-1 and with a medium droplet class. The data were analyzed using canonical analysis techniques. The results indicate that deposition and coverage are not affected by weather conditions in the coarse droplet class but are significantly affected in the medium droplet class. Coverage has a negative relationship with deposition. Applications with favorable weather parameters benefit deposition with the medium droplet class, regardless of the application rate, and coverage is more negatively affected by unfavorable weather conditions than deposition. Coverage and deposition have different effects on changes in application rates. Medium droplet classes provide greater variability in deposition, while coarse droplet classes provide greater variability in coverage. Treatments at heights of 3 and 4 meters had the greatest coverage variability and correlation with relative humidity. There was greater similarity in data variability between speeds of 4 and 5 m s-1 compared to other speeds, indicating that these two speeds do not have statistical differences. Speeds of 3 and 6 m s-1 were the treatments that correlated with deposition and coverage due to their proximity to the vectors. Deposition and coverage exhibited a positive correlation with each other and a negative correlation with meteorological variables. Temperature and humidity were the variables causing the greatest variability in the data. Lower flight heights have a positive impact on coverage and deposition, being less affected by weather conditions. Higher wind speed increases the variability of coverage and deposition. The effect of RPA application speed is dependent on the prevailing meteorological condition at the time of application.