Climate-Smart Agriculture as a Pathway to Long- Term Efficiency and Sustainable Development

DOI

https://www.doi.org/10.59256/indjcst.20260501C015

Conference

International Conference on Cyber and AI Security

Organised By

Madanapalle Institute of Technology & Science (MITS)

Conference Date

9 & 10 March 2026

Pages

92-97

Article Type

Research Article

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To enhance the mitigation and modelling of greenhouse gas emission under climate-smart agriculture policy. To bring state stability, the research is based on a mixed research approach, that is, both quantitative and qualitative research are incorporated into the critical framework, and early warning tools when it comes to impact assessment. At the quantitative end, a further elaborated model named hierarchical process (LMMA-FAHP) model has been worked out that founded on fuzzy autoregressive longitudinal mediation moderation analysis. All the validity requirements are met in this model and it has no evidence of falsification and even performs better than the earlier models. It is quite appropriate in policy taking a closer look at clean and sustainable technologies that support renewable biogas energy, eco-friendly biofertilizers, and organic ways of living, high sensitivity levels are indicated in all indicators. As a new scenario policy is provided, the greenhouse gas emissions (20252065) were reduced in the future. The rate of increase in the emission was 78.51 Mt CO2 emissions closely under the carrying capacity limit (not more than 101.25 Mt CO2 emissions) as compared to the growth rate of 11.35%. In addition, would the government consider using and incorporating such indicators into the national governance? Using the framework, the amount of the greenhouse gas emission that could be curbed by the year 2065 is estimated to be 36.65 percent, quite high above the normal level.