This research explores the environmental footprint of the cut-flower Supply Chain (SC), focusing on carbon emissions and waste generation. Utilizing foundtations of Life Cycle Assessment (LCA), we comprehensively analyse the entire life cycle of cut-flowers, aiming to understand and identify factors underpinning the variations observed in environmental burdens. To enhance environmental sustainability, our approach integrates Blockchain Technology (BCT) with environmental impact assessment. BCT enhances transparency and traceability, streamlining decision-making across cut-flower harvest, transportation, and storage, considering waste minimization, carbon emission reduction, and cost efficiency as objectives. Furthermore, BCT brings the promise of fairer trade by the enhancement of transparency and traceability in cut-flower SC; this is to fulfil social sustainability in this research. Positioned at the forefront of impactful contributions, this study employs advanced data analysis techniques and blockchain technology. It not only provides comprehensive insights into the current state of the cut-flower industry but also proposes innovative solutions for sustainability. We have presented the mathematical model that helps with integration of BCT into assessmnet of cut flower life cycle. The results are analyzed through a numerical exmaple and insights are extracted in the end. The model successfully integrates production, transportation, and freshness considerations while selectively adopting blockchain to enhance traceability without unnecessary cost burdens.