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Tangerino, G.P
Ribeiro, M
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Authors
de Queiroz, R.F
Rezende, P.S
Oliveira, A.M
Tangerino, G.P
Franco Neto, A.R
Teixeira, S.A
Valdivino, R
Tsukahara, R
Ribeiro, M
Topics
Precision Crop Protection, Pest, and Plant Health
Type
Poster
Oral
Year
2026
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1. Characterization of Spray Application with a 110015 Ad Nozzle Using a Remotely Piloted Aircraft: Evaluation of Flight Altitude and Collector Type

Remotely piloted aircraft (RPA) spray systems represent an innovative technology in modern agriculture, offering pesticide application with high precision and operational efficiency. A comparative study of different collector substrates is essential for precision agriculture, as each substrate exhibits specific droplet absorption and retention properties that significantly affect the evaluation of spray performance and pesticide deposition efficacy. Investigating the interaction of sprayed droplets... R.F. De Queiroz, P.S. Rezende, A.M. Oliveira, G.P. Tangerino, A.R. Franco Neto

2. Machine Learning Pipeline to Estimate Soybean Rust Severity Using UAV-derived Multispectral Indices

Asian Soybean Rust is one of the most destructive diseases affecting soybean crops worldwide and can result in yield losses of up to 90% when control measures are not implemented in a timely manner. Conventional disease monitoring based on field scouting is time-consuming, labor-intensive, and inherently subjective, often failing to adequately represent the spatial variability of disease across production fields. These limitations highlight the need for automated, objective, and high throughput... S.A. Teixeira, R. Valdivino, R. Tsukahara, M. Ribeiro