Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Ramani za Uzito wa Magugu× | Ufanisi wa Matumizi ya Nitrojeni× | |
|---|---|---|
| Nyanja | Agronomia | Agronomia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2003 | 2005 |
| Mwanzilishi≠ | Roland Gerhards, Søren Christensen | Adrian Dobermann, Kenneth G. Cassman |
| Aina≠ | Spatial survey pipeline | Analytical pipeline |
| Chanzo asilia≠ | Gerhards, R., & Christensen, S. (2003). Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. Weed Research, 43(6), 385-392. DOI ↗ | Dobermann, A., & Cassman, K. G. (2005). Nitrogen use efficiency in cereals: mechanisms and genetic improvements. In Managing soil quality and crop productivity in intensive agriculture (pp. 15-40). CRC Press. link ↗ |
| Majina mbadala | Weed mapping, Spatial weed survey, Weed sampling | NUE analysis, Nitrogen recovery efficiency, N balance assessment |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | Weed Density Mapping is a spatial survey pipeline for measuring and mapping weed distributions across fields to support targeted herbicide application and management decisions. Developed by Gerhards, Christensen, and others in precision agriculture (2000s), this method combines field sampling or remote sensing with geostatistics to create weed pressure maps, enabling variable-rate control strategies. | Nitrogen Use Efficiency (NUE) assessment and optimization is an analytical pipeline for evaluating how effectively crops convert applied nitrogen fertilizer into grain, biomass, or economic output. Developed by agronomic researchers (Dobermann, Raun) in the 2000s, this method quantifies nitrogen losses and identifies management practices to improve both crop productivity and environmental sustainability. |
| ScholarGateSeti ya data ↗ |
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