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International Journal of Science, Strategic Management and Technology

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AI-ENABLED SMART CARBON FARMING SYSTEM FOR CLIMATE-POSITIVE AGRICULTURE

AUTHORS:
Amit Kumar Pareek
Priyansh Jangid
Vaibhav Dadlani
Atul Choudhary
Sakshi Singh Rajput
Mentor
Kailash Chand Choudhary
Affiliation
DOI: 10.55041/ijsmt.v2i4.392
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Agriculture aur climate change ek dusre se gehre jude hue hain. Duniya ki agriculture sector aaj global greenhouse gas (GHG) emissions ka lagbhag 23% hissa ban chuka hai (IPCC, 2023). Yeh emissions mukhya roop se carbon dioxide (CO₂) deforestation aur land-use change se, methane (CH₄) livestock aur rice paddies se, aur nitrous oxide (N₂O) synthetic fertilizers se aate hain. IPCC ke anusar, food systems overall 21–37% tak global emissions ke zimmedar hain, jismein direct farming activities aur supply chain dono shamil hain.

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 21 2026
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Pareek, A. K., Jangid, P., Dadlani, V., Choudhary, A. & Rajput, S. S. (2026). AI-Enabled Smart Carbon Farming System for Climate-Positive Agriculture. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.392

Pareek, Amit, et al.. "AI-Enabled Smart Carbon Farming System for Climate-Positive Agriculture." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.392.

Pareek, Amit,Priyansh Jangid,Vaibhav Dadlani,Atul Choudhary, and Sakshi Rajput. "AI-Enabled Smart Carbon Farming System for Climate-Positive Agriculture." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.392.

References
[1] IPCC, 2022. Climate Change 2022: Mitigation of Climate Change.
[2] Rattan Lal, 2018. Digging deeper: A holistic perspective of factors affecting soil organic carbon sequestration. Soil & Tillage Research.
[3] Bronson Griscom et al., 2017. Natural climate solutions. PNAS 114(44).
[4] José Padarian et al., 2020. Machine learning for digital soil mapping. Geoderma 367.
[5] Francesca Castaldi et al., 2022. Soil organic carbon estimation using Sentinel-2. Remote Sensing of Environment.
[6] Budiman Minasny et al., 2017. Soil carbon 4 per mille. Geoderma 292.
[7] Wulf Amelung et al., 2020. Towards a global-scale soil climate mitigation strategy. Nature Communications.
[8] John Schulman et al., 2021. Proximal Policy Optimization Algorithms. arXiv:1707.06347.
[9] Ashish Vaswani et al., 2017. Attention Is All You Need. NeurIPS.
[10] Emily Oldfield et al., 2022. Carbon farming: Are soil carbon certificates a suitable tool? Soil Use & Management.

 
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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