Increased levels of carbon dioxide (CO₂) in the atmosphere, which are a major factor in causing climate change, pose a wonder in the agricultural sphere, since at high atmospheric CO₂ levels, euphoria is possible, but at the same time the situation can lead to physiological stress, changes in quality, and the use of resources. This research puts forward an entire modelling system whereby the deleterious effects of high CO₂ concentrations on agricultural output have been quantitatively recorded and neutralized. With the joint work of crop growth simulation, resource optimization, and predictive analytics, we consider the consequences of CO₂ fluctuations in the major phases of crop development about different environmental and management circumstances. Multi-objective genetic algorithms meet climate-crop interaction models to help in determining the most feasible approaches to CO₂ dosing. Results of a simulation are exhibited with hardly any difference in complaints about yield stability, water use efficiency, and wastage of inputs when CO₂ is being managed optimally. The research provides input into sustainable, climate-smart agriculture through making it possible to decide adaptively under atmospheric uncertainties.
Keywords: CO₂ impact modeling, crop productivity, climate-smart agriculture, optimization, genetic algorithms, resource efficiency, simulation-based analysis.
How to cite this article: Bhavani K, Vinayagam P, Modeling Approaches to Mitigate the Adverse Impact of Elevated CO₂ Levels on Agricultural Productivity. Int J Drug Deliv Technol. 2026;16(4s): 730-737; DOI: 10.25258/ijddt.16.4s.85
Source of support: Nil
Conflict of interest: None