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Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land

https://doi.org/10.3390/rs14010081
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.3390/jimaging12020061openalex-snapshot
Multiscale RGB-Guided Fusion for Hyperspectral Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/plants12030558openalex-snapshot
Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition
inferred← citeshttps://doi.org/10.3390/rs15071917openalex-snapshot
An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”
inferred← citeshttps://doi.org/10.3390/rs17091597openalex-snapshot
Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis
inferred← citeshttps://doi.org/10.3390/rs17111806openalex-snapshot
Integrating Hyperspectral Imaging, Plant Functional Diversity, and Soil-Lithology to Uncover Mountainscape Disturbance Dynamics Induced by Landsliding
inferred← citeshttps://doi.org/10.3390/s24113618openalex-snapshot
Use of Optical and Radar Imagery for Crop Type Classification in Africa: A Review
inferred← citeshttps://doi.org/10.37284/eajit.6.1.1557openalex-snapshot
Real-Time Monitoring of Parameters Contributing to Soil Quality in Palm Oil Plantation
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