Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kultūraugu ražas prognozēšana× | Slāpekļa izmantošanas efektivitāte× | |
|---|---|---|
| Nozare | Agronomija | Agronomija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2015 | 2005 |
| Autors≠ | Agronomic research institutions (CIMMYT, ICRISAT, IRRI) | Adrian Dobermann, Kenneth G. Cassman |
| Tips≠ | Analytical and predictive pipeline | Analytical pipeline |
| Pirmavots≠ | 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 ↗ | 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 ↗ |
| Citi nosaukumi | Yield forecasting, Harvest prediction, Yield monitoring | NUE analysis, Nitrogen recovery efficiency, N balance assessment |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. | 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. |
| ScholarGateDatu kopa ↗ |
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