AI-Enabled Renewable Energy Systems for Agricultural and Rural Development: Socio-Technical, Economic, and Environmental Perspectives

Anik Biswas, Md Nasir Uddin Rana · 2025

Summary. AI and machine learning optimize renewable energy systems and agricultural practices in rural areas by improving efficiency, reducing waste, and enabling precision farming. While high upfront costs and regulatory barriers exist, field evidence shows real returns through microgrids, predictive maintenance, and reduced chemical use. Success requires blending local farming knowledge with digital tools, affordable access, transparent models, and collaboration among farmers, utilities, technologists, and policymakers to ensure equitable benefits and climate resilience.

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Biswas, A., & Rana, M. N. U.. (2025). AI-Enabled Renewable Energy Systems for Agricultural and Rural Development: Socio-Technical, Economic, and Environmental Perspectives. https://doi.org/10.69937/pf.rs.2.3.57

@article{biswas-2025-ai-enabled-renewable-energy-systems,
  title   = {AI-Enabled Renewable Energy Systems for Agricultural and Rural Development: Socio-Technical, Economic, and Environmental Perspectives},
  author  = {Anik Biswas and Md Nasir Uddin Rana},
  year    = {2025},
  doi     = {10.69937/pf.rs.2.3.57},
  url     = {https://doi.org/10.69937/pf.rs.2.3.57}
}

TY  - JOUR
TI  - AI-Enabled Renewable Energy Systems for Agricultural and Rural Development: Socio-Technical, Economic, and Environmental Perspectives
AU  - Anik Biswas
AU  - Md Nasir Uddin Rana
PY  - 2025
DO  - 10.69937/pf.rs.2.3.57
UR  - https://doi.org/10.69937/pf.rs.2.3.57
ER  -

Details

DOI: 10.69937/pf.rs.2.3.57
Categories: agtech, energy, climate-and-environment, general-innovation
Added: 2026-08-01