Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Lämmastiku kasutamise efektiivsus× | Saagikuse prognoosimine× | |
|---|---|---|
| Valdkond | Agronoomia | Agronoomia |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2005 | 2015 |
| Looja≠ | Adrian Dobermann, Kenneth G. Cassman | Agronomic research institutions (CIMMYT, ICRISAT, IRRI) |
| Tüüp≠ | Analytical pipeline | Analytical and predictive pipeline |
| Algallikas≠ | 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 ↗ | Lobell, D. B., Thau, D., Seifert, C., Engle, E., & Shadow, B. (2015). A regional crop yield forecasting system for Sub-Saharan Africa. Global Food Security, 5, 6-15. link ↗ |
| Rööpnimetused | NUE analysis, Nitrogen recovery efficiency, N balance assessment | Yield forecasting, Harvest prediction, Yield monitoring |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | 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. | Crop Yield Estimation is an analytical and predictive pipeline for forecasting final crop yield before harvest or monitoring yield accumulation during the growing season. Developed by agronomic research centers (CIMMYT, ICRISAT, IRRI), this method combines field observations, environmental data, and statistical models to predict grain or biomass output, informing harvest planning, market decisions, and performance evaluation. |
| ScholarGateAndmestik ↗ |
|
|