Proceedings
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| Filter results3 paper(s) found. |
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1. On-farm Experimentation Case Study in Brazil: Evaluation of Soybean Seeding Rate Using Resources Available at the FarmIn order to maximize grain yield in soybean (Glycine max [L.] Merr.) it is necessary that the plant population is correctly defined. Production environments differ spatially, and cultivar holders suggest plant populations across macroregions and in broad ranges. Refinements of planting seasons and populations are carried out through tests on many properties, often costly and sometimes unrepresentative of most fields. Tools for managing spatial variability are ways to conduct more... M. Rodrigues Alves Franchi, I. Molina Cyrineu, F. Kagami Taira, L. Hunhoff, L.M. Gimenez |
2. A Simplified Optical Sensor-Based Approach for Variable Rate Nitrogen Recommendation Using Vegetation Indices and Yield PotentialVariable rate nitrogen (VRN) management using active optical sensors has been widely studied as a strategy to improve nitrogen use efficiency and reduce environmental impacts. Most current methodologies are based on complex multi-step models that estimate in-season yield from vegetation indices, crop stage and multiple equations, which often results in unrealistic yield predictions and limits adoption by farmers and consultants. This study presents a simplified and robust approach for VRN... F. Povh, L.M. Gimenez, L.S. Flugel |
3. Performance of Spatial Prediction Models Under Different Sample Densities in Corn Yield MapsYield maps are essential for the consistent management of crop variability. The accuracy of these maps, however, is directly affected by the density of data collected by grain harvesters and by the choice of interpolation method, whether deterministic or statistical. This study aimed to evaluate the performance of four spatial prediction methods, tested under different sample densities, for the development of corn yield maps. The study area corresponds to an 11-hectare commercial field, utilizing... L.M. Gimenez, L.M. Santos, M. Hass Bomfim Vieira |