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A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus

Aydin Imani1, Ebrahim Sepehr2, Zed Rengel3,4

  • 1Department of Soil Science, Faculty of Agriculture, Urmia University, P.O. Box: 165, Urmia, Iran. Aydin.imani@urmia.ac.ir.

Scientific Reports
|January 9, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Active ironEstimationImage processingMachine learningPeach

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