<p>In the supply chain management of natural resources as raw materials such as sugarcane, beetroot, vegetable scraps, etc. The two major problems faced by the supplier are the change in price due to short shelf-life and the pattern of carbon emission. In this paper, an attempt has been made to develop an inventory model to investigate the earnings made by the supplier on selling the product with price- and stock-dependent demand and study the effect of carbon emission and shelf-life. Further, we obtain the optimal preservation cost and green investment to reduce the deterioration and carbon emission. We study the model under different cases; deterministic demand, probabilistic demand with random emission, and probabilistic demand with a random price. The proposed model optimizes the total profit of seller considering the factor of freshness through optimum preservation cost and controlling emission through green technology implementation. The model is validated with numerical examples and sensitivity analysis is performed to test the flexibility of the model. Managerial implications and extension of the present work are also provided.</p>