Hainan agarwood is a valuable commodity with a diverse range of applications, including use in spices, medicines, and cultural artifacts. This has led to the emergence of a growing market for the product. Nevertheless, several challenges persist within the Hainan agarwood industry, including inconsistent product quality, recurrent instances of market fraud, and an opaque supply chain. In order to address these issues, we put forth a proposal for an agarwood traceability method based on Distributed Identity (DID) and smart contracts. The implementation of distributed identity technology enables the assignment of a unique digital identity to each entity within the industrial chain, thereby facilitating enhanced accountability and accurate traceability. Concurrently, smart contract technology is utilized across all links of the industrial chain to achieve comprehensive process information recording and retrieval. This method guarantees that the data associated with each link in the agarwood industry chain is stored on the blockchain in a manner that is immutable. The proposed method effectively identifies counterfeit products while not relying on a single organization, thus reducing the risk of single-point failure and abuse of power, and improving the fairness and credibility of the system.
J. Nandhini, K. Anuratha, K Sangeetha, K. A. Jaswant
Deforestation is the major cause for the loss of habitats for animals. Commercial usage of wood is one of the main reasons behind deforestation. Due to the overutilization of these resources, many exotic species of wood varieties like sandalwood, rosewood, teak wood, etc. are on the endangered list. The main reason behind the loss of those exotic species is due to over-exploitation by various means like smuggling, illegal trading, etc. There is no existing proper mechanism to check whether the varieties of trees are been saved and not over exploited. To overcome it, we propose an idea and mechanism where the usage of those trees is tracked and observed. We are using image processing and block chain technology to overcome this problem. At first, the actual number of trees in a particular area is detected using a top view image of the trees which then, the number of trees is calculated using image processing algorithms. Then smart contracts are developed to store the details of the cut down trees. These contracts are deployed into the block chain network. UI is created to seamlessly interact with the block chain network for various stakeholders. Then this UI is embedded with the block chain network to complete the module.