Recently there has been an increase in the use of Blockchain technology for multiple purposes; one of them has been food traceability. This technology has increased quality control, safety, and reliability. So, the producers are looking for better ways to trace the products at any chain state to ensure their quality. A smart contract is a transaction protocol that execute automatically when a predefined set of conditions are met. In this paper, we propose a smart contract to monitor the status of the coffee beans in the transport and storage stages with data validation. Using the Hyperledger Fabric Blockchain tool, we deploy a test network of two actors, also known as organizations. The organizations come together to form a channel in the network. Each has a valid identity that helps them verify their signatures over any transaction. We selected JavaScript to write our proposed smart contract for experimental and evaluation purposes. To evaluate the smart Contract, we use Hyperledger Caliper, obtaining an average throughput of 10.4tps and average latency of 0.7s, being fast enough to be used in a real environment, considering the current control conditions of the coffee beans.

Traditionally, food sustainability has been considered solely in the stage of agricultural production. However, globalization, the expansion of the food production industry, and the emergence of supermarket chains that control the retail food market require specific significant changes in supply chains in the food sector and, therefore, we need to address the economic, social, and environmental impacts of these events. On the other hand, social selling has increased rapidly in recent years, with a further boom, following current events related to the coronavirus disease (COVID-19). This explosion of social sales, where there are usually no control and regulation entities, can bring problems associated with mishandling items. In this paper, we expose how Blockchain technology supports the traceability of social sales by validating the data provided by the chain participants such as digital health passports, production and transport data in the sale process; the proposed solution generates recommendations on product management considering the agreements previously made by the network actors. To evaluate the proposed smart contracts, we use Hyperledger Caliper, obtaining an average throughput of 12.6 transactions per second and an average latency of 0.3 s for the asset update process. We also use a study case to evaluate the proposed project platform’s selling-transport stage using Internet of Things (IoT) sensors.

A sustainable supply chain management strategy reduces risks and meets environmental, economic and social objectives by integrating environmental and financial practices. In an ever-changing environment, supply chains have become vulnerable at many levels. In a global supply chain, carefully tracing a product is of great importance to avoid future problems. This paper describes a self-updating smart contract, which includes data validation, for tracing global supply chains using blockchains. Our proposal uses a machine learning model to detect anomalies on traceable data, which helps supply chain operators detect anomalous behavior at any point in the chain in real time. Hyperledger Caliper has been used to evaluate our proposal, and obtained a combined average throughput of 184 transactions per second and an average latency of 0.41 seconds, ensuring that our proposal does not negatively impact supply chain processes while improving supply chain management through data anomaly detection.