Deep-Learning-Based Approach for Estimation of Fractional Abundance of Nitrogen in Soil From Hyperspectral Data

Deep-Learning-Based Approach for Estimation of Fractional Abundance of Nitrogen in Soil From Hyperspectral Data

One of the vital growth nutrient parameters of crops is soil Nitrogen (N) content. The ability to accurately grasp soil nutrient information is a prerequisite for scientific fertilization within the field of precision agriculture. Information pertaining to soil macronutrients, such as N, may be obta...

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Bibliographic Details
Main Authors: Ajay Kumar Patel, Jayanta Kumar Ghosh, Shivam Pande, Sameer Usmangani Sayyad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL) network
hyperspectral remote sensing
precision agriculture
soil macronutrients
spectral unmixing
Online Access:https://ieeexplore.ieee.org/document/9266791/

Internet

https://ieeexplore.ieee.org/document/9266791/

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