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Evidence of global relevance

RGB-UAV-based phenotyping reveals the influence of planting density on physiological traits, biomass, and yield in buckwheat

A buckwheat experiment compared broadcast sowing with four drill spacings and RGB-UAV imagery at 30, 50, and 60 m. Vegetation indices correlated strongly with biomass and yield under selected conditions, but no index, altitude, or growth stage was universally optimal; 50 m was most stable in this experiment.

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Key findings

  • Drilling at 12.5 cm produced the highest fresh weight; seed weight was higher for every drill treatment than broadcast sowing, while seeds per plant peaked at 40 cm, showing a density trade-off. VI-ground correlations were r=0.82-0.98 but varied by stage, sowing, and altitude. The 50 m altitude was most stable, and ExG/GLI were more consistent than NGRDI.
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Why this matters globally

The results support lower-cost RGB precision agriculture and warn that models transferred across fields require adjustment for canopy structure and management.

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Thai researcher contribution

Kasetsart agronomy and genetics researchers linked sowing design with remote phenotyping in an international collaboration; the abstract does not identify the experimental field as being in Thailand.

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Limitations to consider

One cultivar and limited conditions constrain generalization. Within-experiment correlations are not independent predictive validation and may partly reflect treatment separation. Three altitudes, three indices, and two stages do not cover varying illumination, sensors, soils, seasons, or cultivars.

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Verify the original sources

BMC Plant BiologyRead the original article

DOI: 10.1186/s12870-026-09427-4

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