The current pandemic of COVID-19 has shown that food safety is no longer a local or national problem. Unsanitary activities can have global implications. Although the danger has increased due to the increase in trade globally, the question is whether we have developed instruments to ensure food safety?
Nearly one in ten people fall ill each year after consuming tainted food, resulting in 4,20,000 deaths, according to the World Health Organization. We need initiatives at every touchpoint in the food industry, from farm to market, to handle a problem of this size. One way to track and monitor the issue is to look at it as a problem with data. That’s where we get to use blockchain technology. In this article, we will be exploring the potential of Hyperledger blockchain app development for the food industry.
Assume that in seconds, you could trace the origins of your food or that you could check whether the fruits you bought were organic. Shortly, with the blockchain solutions set to revolutionize the food industry, this could potentially happen. In several cases, here’s how the technology can help
Blockchain makes the food supply chain transparent and thereby enables the chain of food safety disaster prevention. It is one of the reasons that corporations like Unilever and Nestle are considering adopting technologies like blockchain and smart contracts.
If the data obtained is free of any human error, it will also help to deter fraud. Collected information is also subject to hacking, inaccuracies, and mistakes. Blockchain implementation would help to avoid these problems. If someone tries to manipulate data, it will also aid in finding the culprit. It will, for example, prevent the kind of food fraud that occurred in 2016 in Canada.
A blockchain-based payment system can simplify the transaction process. It would help farmers sell more and be fairly paid, as the demand data would be at their fingertips. It may also prohibit retroactive compensation and market manipulation from happening. Blockchain could ‘Uberize’ the agri-food industry by lowering transaction fees and eliminating intermediaries, according to Forbes.
Blockchain enables businesses to identify any changes to the goods in production. It is also true for distributors.
With the aid of the blockchain, stakeholders can identify and remove it if any defective product ends up on sale.
Throughout the whole process, the existence of blockchain enhances the confidence of consumers throughout manufacturers and distributors as the goods get labeled with the correct details.
All supply chain participants will benefit from blockchain technology: suppliers, producers, advertisers, distributors, retailers, and regulators. Every attempt to exploit a food product as it moves through the supply chain is easily noticeable and preventive by the vendor before the product reaches the customer.
For supermarkets, stores may classify and remove only the dangerous goods if a potentially hazardous food product makes it to the shelves. It eliminates the need for expensive recalls of batches.
For customers, from any computer, the history and route of an individual food item are immediately available. It can provide a host of information about how to maximize shelf life, reduce waste, enhance quality and sustainability, and make food safer, from certifications to information.
A customer would want to know that what he’s eating is healthy and new to eat, so he’s going to be able to track when and where the tomatoes were harvested, delivered, and processed at breakfast.
Assume that a retailer can check with 100 percent accuracy where each food commodity has been made, treated, made, packaged, and tested. There is the potential for blockchain technology to make this a possibility. Blockchain eliminates any inconsistencies in a food product’s transaction history, place, and status.
For instance, if the merchant becomes aware of a potentially deadly watermelon problem, the blockchain network participants will expose the entire past of that melon and locate the cause of the problem. And the melon from that particular farm or batch can be recalled quickly where appropriate.
How swiftly? In one scenario, Walmart wanted to investigate the traceability and validity of the food supply chain. Before using blockchain, Walmart tested how easy it could trace the mangoes back to their original farm in one of its stores. It nearly took a week. The blockchain took 2.2 seconds. Starbucks’ bean-to-cup initiative maps its coffee production and allegedly gives more financial freedom to coffee farmers from Rwanda, Colombia, and Costa Rica.
It is a huge undertaking to ensure the protection and consistency of a large portion of the food supply of the country because accidents have occurred in recent decades in which customers have become ill or died after consuming tainted food.
In the food supply chain, IBM Food Trust is driven by Hyperledger Fabric to create unparalleled visibility and transparency. It is the only network of its kind that links farmers, processors, distributors, and distributors with food system data via a permitted, permanent and shared record.
For more than a year, the IBM Food Trust network has been continuing pilot experiments with large producers and food suppliers, including Golden State Foods, McCormick and Co., Nestlé, Tyson Foods, and Wal-Mart Stores Inc. In partnership with IBM, these companies formed a partnership to use their food safety platform to secure customers and raise trust in the food supply.
The solution provides licensed users with instant access, from farm to store, and finally to the consumer, to actionable food supply chain data. When inserted into the blockchain, the full past and present location of each food object, as well as related details such as credentials, test results, and temperature data, are readily accessible in seconds.
Even if the data is open to the public, ownership remains. A user can regulate who has access to their data with a Hyperledger-powered authorization blockchain. Before and after the data is submitted, it is the individual who owns the data. The user alone controls who can see the data.