Integrating Unmanned Aerial Vehicle-Derived Vegetation and Texture Indices for the Estimation of Leaf Nitrogen Concentration in Drip-Irrigated Cotton under Reduced Nitrogen Treatment and Different Plant Densities

Integrating Unmanned Aerial Vehicle-Derived Vegetation and Texture Indices for the Estimation of Leaf Nitrogen Concentration in Drip-Irrigated Cotton under Reduced Nitrogen Treatment and Different Plant Densities

The accurate assessment of nitrogen (N) status is important for N management and yield improvement. The N status in plants is affected by plant densities and N application rates, while the methods for assessing the N status in drip-irrigated cotton under reduced nitrogen treatment and different plan...

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Bibliographic Details
Main Authors: Minghua Li, Yang Liu, Xi Lu, Jiale Jiang, Xuehua Ma, Ming Wen, Fuyu Ma
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Agronomy
Subjects:
leaf nitrogen concentration
machine learning algorithms
UAV
texture
vegetation index
Online Access:https://www.mdpi.com/2073-4395/14/1/120

Internet

https://www.mdpi.com/2073-4395/14/1/120

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