Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis

Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis

Africa’s rapidly growing population is driving unprecedented demands on agricultural production systems. However, agricultural yields in Africa are far below their potential. One of the challenges leading to low productivity is Africa‘s poor soil quality. Effective soil fertility management is an es...

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Bibliographic Details
Main Authors: Nadir El Bouanani, Ahmed Laamrani, Hicham Hajji, Mohamed Bourriz, Francois Bourzeix, Hamd Ait Abdelali, Ali El-Battay, Abdelhakim Amazirh, Abdelghani Chehbouni
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
hyperspectral
high-resolution
remote sensing
soil properties
artificial intelligence
yield gap
Online Access:https://www.mdpi.com/2072-4292/17/9/1597
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