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Research of potato precision fertilization decision based on QUEFTS model and remote sensing diagnosis of nutrient deficiency
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DOI：10.1016/j.eja.2026.128136.png)
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Abstract
En 中文
• The QUEFTS model determined optimal potato yield and nutrient requirements. • Remote sensing integrated with QUEFTS improved fertilizer use efficiency. • RF regression and Planet imagery monitored plant nitrogen accumulation. • Optimal N, P, and K needs were 1.86, 0.36, and 2.81 kg per tonne of tuber. • Variable fertilization reduced N and P application by roughly 12.8%.
Keywords:
QUEFTS model
remote sensing
potato precision fertilization
nutrient deficiency diagnosis
variable fertilization
Journal
IF:
5.5
Papers:
605
Citations:
1.3W
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Cited Papers