Proceedings
Authors
| Filter results2 paper(s) found. |
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1. Detection of Weed-Related Anomalies in Sugarcane Fields Using Sentinel-2 ImageryWeed infestation is one of the main causes of yield losses in agricultural systems, particularly in large-scale crops such as sugarcane. Conventional weed management, based on uniform herbicide application, often ignores the spatial variability of infestations, resulting in higher production costs and environmental impacts. In this context, remote sensing and machine learning techniques are recently being used as a solution for automation and precision in crop monitoring. In this study,... R.P. Amaro, F. Amstalden, C. Berro filho, D.G. Duft |
2. Digital Terrain Modeling and Topographic Smoothing for Levee Optimization in Irrigated Rice Areas Using AgroCAD® and T3rra Cutta©The systematization of lowland areas intended for irrigated rice production requires precise topographic planning to ensure efficiency in water management and operational performance of agricultural activities. Traditional land leveling methods are often based on empirical approaches, which may result in excessive soil movement and inefficient levee configurations. Advances in Precision Agriculture have enabled the integration of high-precision GNSS positioning with digital terrain modeling tools,... A. Mullich, I. Maldaner, L. , L. Wendt, J. Turchiello, M. Noal santarem, M.L. Auzani biscaino |