Abstract
Nitrogen management is crucial for high yield potential of crops as well as reducing environmental pollution. However, the heterogeneity of nitrogen condition. Thus, there have been attempts to estimate nitrogen contents via chlorophyll contents in leaves. Among them, vegetative indices have been proved to be useful. However, there are many kinds of them and each of them reflects different properties. Here, we compared with various indices using one data set to show they are different each other so that researchers who want to use vegetative indices can be aware of this. By doing so, they can develop their own models with the proper indices.
| Original language | English |
|---|---|
| Pages (from-to) | 73-79 |
| Number of pages | 7 |
| Journal | Journal of Crop Science and Biotechnology |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- multi-spectral camera
- nitrogen content
- remote sensing
- sustainable agriculture
- unmanned aerial vehicle
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