| Issue |
E3S Web Conf.
Volume 715, 2026
2026 2nd International Conference on Eco-environmental Protection, Environmental Monitoring and Remediation (EPEMR 2026)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 6 | |
| Section | Environmental Monitoring, Assessment and Remediation | |
| DOI | https://doi.org/10.1051/e3sconf/202671501010 | |
| Published online | 03 June 2026 | |
Optimization Analysis of Carbon Emission Reduction Paths in Agricultural Transformation Driven by Intelligence
Chengdu University of Information Technology, Chengdu, 610103 China
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Abstract
Against the backdrop of the advancement of the carbon peaking and carbon neutrality goals and the accelerated high-quality transformation of agriculture, the regulation of agricultural carbon emissions has become a key measure to realize the coordinated development of ecology and agriculture. Faced with the predicaments of extensive mode, low efficiency and continuously diminishing marginal benefits in traditional agricultural emission reduction, this study focuses on the enabling value of intelligent technologies for agricultural carbon emission reduction. We clarify the connotations of core concepts, analyze the influence paths and synergetic effects of intelligent technologies, and construct a dynamic carbon emission monitoring system, a path optimization model and a verification mechanism. Furthermore, an empirical study is conducted with cases such as the rice planting areas in the Yangtze River Delta to quantify emission reduction effects and explore regional differences and synergetic paths.The study finds that intelligent technologies can achieve significant emission reduction through whole-chain management and control, hybrid intelligent optimization algorithms can effectively screen the optimal emission reduction paths, and regional coordination can address the pain point of unbalanced emission reduction. This research can provide theoretical support and practical reference for the intelligent-driven low-carbon transformation of agriculture, and help the steady realization of agricultural carbon emission reduction goals.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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