Sensors, Год журнала: 2025, Номер 25(10), С. 3148 - 3148
Опубликована: Май 16, 2025
Enhancing nitrogen use efficiency (NUE) through optimized application methods can benefit agronomic productivity and environmental sustainability. This study examined three strategies, flat rate, soil-based sensing, remote sensing-based prescription maps, for corn in southeast South Dakota, USA. Soil-based sensing utilized an electrical conductivity (EC) sensor while the normalized difference vegetation index (NDVI) was extracted from data using Sentinel-2 images to create different zones. In flat-rate method, is applied uniformly at all plots, regardless of field variations. On other hand, sensor-based recommended variable rates applications address The results present showed that significantly identify variations as zones (p < 0.05). method improved NUE compared with increases 2.21, 29.24, 29.6, 82.09% 1, 2, 3, 4, respectively. However, adjusting spatial temporal requirement a difficult. findings suggest offer optimization by incorporating in-season variability, enhancing
Язык: Английский