MOJ
eISSN: 2573-2919
Submit manuscript...
Review Article Volume 11 Issue 2
AI-based sustainable natural resources development with deep learning- an overview
Fred Aminzadeh
Received: February 27, 2026 | Published: March 26, 2026
Citation: Aminzadeh F. AI-based sustainable natural resources development with deep learning- an overview. MOJ Eco Environ Sci. 2026;11(2):50-56. DOI: 10.15406/mojes.2026.11.00381
Abstract
A multidisciplinary “Engineered System” is introduced used to create a Sustainable integrated platform for multitude of natural resources called NRDL, short for Natural Resources using Deep Learning. NRDL is a dynamic system capable of adapting itself to changes in the society, economic trends and political conditions, as well as emerging needs. An example of NRDL system is provided. An example of a subsystem that deals with two different types of natural resources (Water, Minerals and Energy) is shown. Specifically, it is shown how water resources to generate geothermal and electric energy. A byproduct to the brine from geothermal is lithium that is in electrical vehicles. This paper overviews the entire system briefly. It will be followed by several subsequent papers to highlight different components of NRDL in more detail.
Keywords: AI, natural resources, sustainability, natural resources, lithium, geothermal energy
©2026 Aminzadeh. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.
Citations
Media Partner & Supporters
