Advancing Renewable Natural Resources Mnagement Through Computer-Based Technologies: A Comprehensive Review

Mansur M.A.; Usman; H.; Abdulrahman; A.

doi:10.56201/ijemt.v10.no11.2024.pg19.22

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Advancing Renewable Natural Resources Mnagement Through Computer-Based Technologies: A Comprehensive Review

Mansur M.A., Usman, H. & & Abdulrahman, A.

Abstract

Forests, water, soil, biodiversity, and other renewable natural resources (RNR) are all crucial for preserving ecological balance and guaranteeing the sustainability of human lifestyles. But issues like deforestation, soil erosion, biodiversity loss, and water scarcity all of which are made worse by climate change call for creative solutions. Resource management has seen a revolution because to computer-based technologies including Geographic Information Systems (GIS), Remote Sensing (RS), Artificial Intelligence (AI), the Internet of Things (IoT), and Decision Support Systems (DSS). The uses, advantages, difficulties, and possibilities of various technologies in RNR management are systematically reviewed in this paper. The review demonstrates how these technologies may facilitate data analysis, monitoring, and decision-making for sustainable resource use by examining peer-reviewed research. The results highlight how crucial it is to include contemporary techniques into resource management while removing obstacles to their uptake.

Keywords

Renewable; Natural Resources; Computer-based; Technologies and GIS

References

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Advancing Renewable Natural Resources Mnagement Through Computer-Based Technologies: A Comprehensive Review

Abstract

Keywords

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