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Paper Title

Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet

Authors

Prashanth Vidya Sagar Thalluri , Dr. Bhagya Lakshmi Kodali

Keywords

Artificial Intelligence, Earth Observation, Biodiversity Monitoring, Climate Tech Investment, Sustainability.

Abstract

Artificial Intelligence (AI) rising on the horizon, is rapidly reshaping environmental science and sustainability practice by converting increasingly large and heterogeneous environmental datasets into operational knowledge. This paper synthesizes recent bibliometric studies, Earth-observation platform reports, and climate-tech investment analyses from 2019-2024 to (1) characterize current AI applications in remote sensing, biodiversity monitoring, water and waste management, and energy optimization and (2) present a near-term outlook through 2030 based on observed trends. Key findings show accelerating publication and deployment activity in AI-environment research (notable growth since 2019), expanded access to Copernicus/Landsat data and in-cloud compute that lowers barriers for imagery-based AI workflows and a re-shaping of climate-tech funding with a rising share for AI-centered ventures. Representative operational areas now include automated land-cover change detection, camera-trap and acoustic species classification with human-in-the-loop validation and AI-driven demand/supply optimization in energy and water systems. Scenario forecasts (conservative CAGR assumptions) indicate approximately a doubling of AI-applied research outputs and significant growth in AI's share of climate-tech investment by 2030 -- contingent on continued open data access, cloud compute availability and cross-sector governance. The paper mainly highlights three enablers (open EO data and CDSE access, affordable cloud/edge compute and pre-trained model hubs, hybrid human-AI workflows) and three risks (biased ground truth, ecological model mis-specification, governance gaps). Policy and research recommendations include standardized labelled datasets and benchmarks for ecological tasks, investment in interpretability and human-in-the-loop systems and multi-stakeholder governance to secure equitable environmental outcomes.

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IJCRT — journal style
"Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.246-251, December 2025, Available :https://ijcrt.org/papers/IJCRTBJ02042.pdf
APA — 7th edition
Thalluri, P. V. S., & Kodali, B. L. (2025). Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet. International Journal of Creative Research Thoughts, 13(12), 246-251. https://doi.org/10.56975/ijcrt.v13i12.298159
MLA — 9th edition
Thalluri, Prashanth Vidya Sagar, and Bhagya Lakshmi Kodali. "Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. 246-251, https://doi.org/10.56975/ijcrt.v13i12.298159.
Chicago — 17th, bibliography
Thalluri, Prashanth Vidya Sagar, and Bhagya Lakshmi Kodali. "Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet." International Journal of Creative Research Thoughts 13, no. 12 (2025): 246-251. https://doi.org/10.56975/ijcrt.v13i12.298159.
Harvard — author–date
Thalluri, P.V.S. and Kodali, B.L. (2025) 'Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet', International Journal of Creative Research Thoughts, 13(12), pp. 246-251. Available at: https://doi.org/10.56975/ijcrt.v13i12.298159
IEEE — numbered reference
P. V. S. Thalluri and B. L. Kodali, "Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet," IJCRT, vol. 13, no. 12, pp. 246-251, Dec. 2025, doi: 10.56975/ijcrt.v13i12.298159.
Vancouver — biomedical
Thalluri PVS, Kodali BL. Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet. IJCRT. 2025 Dec;13(12):246-251. doi: 10.56975/ijcrt.v13i12.298159
AMA — 11th edition
Thalluri PVS, Kodali BL. Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet. IJCRT. 2025;13(12):246-251. doi:10.56975/ijcrt.v13i12.298159
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBJ02042, author = {Prashanth Vidya Sagar Thalluri and Bhagya Lakshmi Kodali}, title = {Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {12}, pages = {246-251}, year = {2025}, month = {December}, issn = {2320-2882}, doi = {10.56975/ijcrt.v13i12.298159}, url = {https://doi.org/10.56975/ijcrt.v13i12.298159} }
RIS — EndNote, RefWorks
TY - JOUR AU - Thalluri, Prashanth Vidya Sagar AU - Kodali, Bhagya Lakshmi TI - Green Intelligence: Harnessing Artificial Intelligence for a Sustainable Planet T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 12 PY - 2025 SN - 2320-2882 DO - 10.56975/ijcrt.v13i12.298159 UR - https://doi.org/10.56975/ijcrt.v13i12.298159 SP - 246 EP - 251 ER -

Issue

Volume 13 Issue 12, December-2025
Pages : 246-251

Article Information

Pages
246-251
Published
December 2025
Registration ID
IJCRT_298159
Published Paper ID
IJCRTBJ02042
Research Area
Science and Technology
Author Type
Indian Author
Location
India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
670
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International Journal of Creative Research Thoughts Published by IJCRT Publication
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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