AI and machine learning for soil analysis: an assessment of sustainable agricultural practices

AI and machine learning for soil analysis: an assessment of sustainable agricultural practices

Abstract Sustainable agricultural practices help to manage and use natural resources efficiently. Due to global climate and geospatial land design, soil texture, soil–water content (SWC), and other parameters vary greatly; thus, real time, robust, and accurate soil analytical measurements are diffic...

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Bibliographic Details
Main Authors: Muhammad Awais, Syed Muhammad Zaigham Abbas Naqvi, Hao Zhang, Linze Li, Wei Zhang, Fuad A. Awwad, Emad A. A. Ismail, M. Ijaz Khan, Vijaya Raghavan, Jiandong Hu
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Bioresources and Bioprocessing
Subjects:
Intelligent agriculture
Agronomic forecasting
Soil texture
Water content analysis
Smarter agriculture 4.0
Online Access:https://doi.org/10.1186/s40643-023-00710-y

Internet

https://doi.org/10.1186/s40643-023-00710-y

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