Proceedings
Authors
| Filter results3 paper(s) found. |
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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 TypeRemotely 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 IndicesAsian 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 |
3. From Area-wide Management to Site-specific and Individual Plant Management: the Evolution of Weed Control in ArgentinaSelective herbicide spraying represents one of the most significant innovations in the evolution of Precision Agriculture, enabling a shift from uniform broadcast applications toward spatially explicit and plant-by-plant management models. In a context characterized by the increasing prevalence of herbicide-resistant weed biotypes, rising input costs, and growing environmental and regulatory pressure, these technologies are becoming strategic tools to enhance input-use efficiency and improve the... I. Lo Celso, N. Ciancio, F.M. Scaramuzza |