Predicting Nitrogen Flavanol Index (NFI) in <i>Mentha arvensis</i> Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture

Predicting Nitrogen Flavanol Index (NFI) in <i>Mentha arvensis</i> Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture

Crop growth monitoring at various growth stages is essential for optimizing agricultural inputs and enhancing crop yield. Nitrogen plays a critical role in plant development; however, its improper application can reduce productivity and, in the long term, degrade soil health. The aim of this study w...

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Hauptverfasser: Bhavneet Gulati, Zainab Zubair, Ankita Sinha, Nikita Sinha, Nupoor Prasad, Manoj Semwal
Format: Artikel
Sprache:Englisch
Veröffentlicht: MDPI AG 2025-07-01
Schriftenreihe:Drones
Schlagworte:
UAV
multispectral remote sensing
nitrogen
<i>Mentha arvensis</i>
machine learning
precision agriculture
Online-Zugang:https://www.mdpi.com/2504-446X/9/7/483
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