Proceedings
Authors
| Filter results3 paper(s) found. |
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1. Use of Textural and Spectral Data in Predictive Modeling of Sugarcane YieldSugarcane is one of the most important crops in Brazil, playing a strategic role in the production of sugar, ethanol, and bioenergy. Efficient monitoring of crop yield is essential for agricultural management and decision-making; however, conventional yield estimation methods are generally labor-intensive, destructive, and inefficient in capturing spatial variability within fields. In this context, the use of remote sensing techniques integrated with machine learning models emerges as a promising... L. Rodrigues , S. Luns, G. Rolim, T. Canata, V. Carreira |
2. Spatio-temporal Yield Stability in Rice-soy Rotations at Farm ScaleIntegrated crop-livestock systems are facing the pressure to intensify worldwide, thus decoupling crops from pasture and reducing the amount of time under pasture, while increasing the frequency of annual grain crops. In Uruguay, rice production is commonly integrated into crop–livestock systems, generating productive and environmental advantages compared to many rice-growing regions worldwide. Recent intensification of these systems, particularly through the incorporation of soybean into... I. Macedo, &. Roel, J.J. Bonomo |
3. Quality of Interpolated Maps of Soil Mechanical Resistance to Penetration as Support for Variable Rate Compaction ManagementReliable continuous maps of soil mechanical penetration resistance (SMPR) are essential for site‑specific compaction management, but their usefulness depends on how interpolation methods respond to different spatial dependence patterns along the soil profile. Rather than seeking a single “best” interpolator, this study explicitly addresses how the suitability of interpolation methods varies as a function of the spatial structure of SMPR, an aspect seldom explored in depth in previous... R.P. Silva, J.D. Riquiel, A. Andrade Da Silva, E. Sales, T.M. Oliveira, R. De Souza Silva |