Proceedings
Authors
| Filter results4 paper(s) found. |
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1. The Influence of Field Geometry on the Operational Stability of Uav-based SprayingThe use of spraying drones has expanded rapidly in precision agriculture; however, operational factors such as field geometry may compromise application stability. This study aimed to evaluate the influence of field shape on operational variability and operational capacity during spraying performed with a DJI Agras T100 drone. The experiment was conducted in two fields with distinct geometries: a regular (rectangular) field and an irregularly shaped field, located at the Technology Development... A. Felipe Dos Santos, R.Q. Alvez, T.O. Barboza, M.C. Arnosti, G.F. Valdez , G.L. Silveira |
2. Validation of UAV-Based NDVI Using Proximal Sensing in Mountain Coffee PlantationsUnmanned aerial vehicles (UAVs) with multispectral sensors have expanded remote sensing applications in precision agriculture, however validation against ground-truth measurements remains critical, especially for perennial crops in complex terrain such as coffee plantations in mountainous regions. Proximal sensing can be employed as a reference for evaluating the quality of data obtained by remote platforms. This study aimed to evaluate the reliability of Normalized Difference Vegetation Index... B. Costalonga Vargas, I.A. Barbosa, D. Queiroz, A.L. Coelho, D.M. Valente, M.C. Moreira |
3. Delimitation of Management Zones in Agroforestry Coffee SystemsThe search for more sustainable agricultural production systems is a common goal for both agroforestry systems and precision agriculture. Integrating precision agriculture technologies into coffee cultivation within agroforestry systems has the potential to make these systems more efficient, productive, and sustainable. Thus, this study aims to test the effect of different variables on the delimitation of management zones (MZs) in agroforestry systems. The study was conducted on two coffee-producing... W. Silva Dos Santos, D. Queiroz, F.C. Pinto, A.L. Coelho, B.N. Vasconcelos |
4. Estimating Grape Bunch Yield Using Convolutional Neural Networks and Proximal RGB Imaging in the Brazilian PampaViticulture of fine wines has become an increasingly important economic activity in the Pampa biome of southern Brazil, a relatively recent production frontier with approximately two decades of commercial development. In this emerging region, accurate prediction of grapewine productivity represents one of the most relevant challenges for growers, as reliable early estimates directly support decision-making related to harvest planning, logistics, labor allocation, and market... S. Camargo, E.M. Da Silveira, F.I. Nogueira, A.F. Campos, V.Z. Mércio |