Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kartēšana pēc nezāļu blīvuma× | Precīzā lauksaimniecība ar NDVI× | |
|---|---|---|
| Nozare | Agronomija | Agronomija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2003 | 1973 |
| Autors≠ | Roland Gerhards, Søren Christensen | John W. Rouse, Richard H. Haas |
| Tips≠ | Spatial survey pipeline | Geospatial monitoring pipeline |
| Pirmavots≠ | 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 ↗ | Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Third Earth Resources Technology Satellite symposium, Washington, DC. link ↗ |
| Citi nosaukumi | Weed mapping, Spatial weed survey, Weed sampling | NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. | Precision Agriculture with NDVI is a geospatial monitoring pipeline for assessing crop vigor, health, and productivity using the Normalized Difference Vegetation Index (NDVI) derived from satellite or drone imagery. Developed by Rouse and colleagues (1973), this method enables rapid, non-destructive assessment of spatial variation in crop performance and informs variable-rate management decisions. |
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