Efficiency of assimilating leaf area index into a soybean model to assess within-field yield variability.
ABSTRACT.- Methods for accurately estimating within-field yield are essential to improve site-specific crop management and resource use efficiencies, which would be a major step toward sustainable intensification of agricultural systems. We set out to assess the accuracy of within-field soybean yiel...
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| Այլ հեղինակներ: | , , , , |
| Ձևաչափ: | article |
| Լեզու: | անգլերեն |
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2023
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| Առցանց հասանելիություն: | https://ainfo.inia.uy/consulta/busca?b=pc&id=63938&biblioteca=vazio&busca=63938&qFacets=63938 |
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Նմանատիպ նյութեր: Efficiency of assimilating leaf area index into a soybean model to assess within-field yield variability.
- Predicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model.
- Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction.
- Predicting spatial and temporal variability in soybean yield using deep learning and open source data.
- Evidence for increasing global wheat yield potential. [Letter].
- Respuesta del rendimiento de soja a la densidad de siembra en ambientes de productividad contrastante. [Response of Soybean Yield to Planting Density in Environments of Contrasting Productivity ].
- Cajanus cajan : a promissory high-nitrogen fixing cover crop for Uruguay