Implementation of blockchain in food supply chains: Field test monitoring of fresh aquaculture fish cold chain

机译：在食品供应链中实施区块：新鲜水产养殖鱼冷链的现场试验监测

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Temperature monitoring can be used to evaluate fish products cold chain and estimate qualityand remaining shelf-life at different stages. The objective was to use RFID temperature loggerscoupled with blockchain to field test fresh packaged seabream supply chain.Temperature loggers attached products entered the routine cold chain including all stages fromharvesting to consumer handling. Recorded temperature combined with predictivemicrobiological models were used to estimate remaining shelf-life (RSL). Conductedmicrobiological analysis confirmed the validity of estimated RSL values. All data was shared withstakeholders (producer, retailer) in the context of blockchain-based data sharing tools. Meantemperature ranged within 2.2 and 5 °C while some sharp and short temperature fluctuationswere observed. RSL at the time corresponding to consumption ranged between 30 and 2%.Based on the overall results the use of blockchain in monitoring and communicating realtime datacombined with predictive modelling allows an effective cold chain management.

机译：温度监测可用于评估鱼类产品冷链和估算质量在不同阶段剩余的保质期。目标是使用RFID温度记录器再加上区块的现场测试新鲜包装的海泡束供应链。温度记录器附加产品进入了常规冷链，包括所有阶段收获消费者处理。记录温度与预测相结合微生物模型用于估计剩余的保质期（RSL）。实施微生物分析证实了估计的RSL值的有效性。所有数据都与之共享利益相关者（生产者，零售商）在基于区块链的数据共享工具的背景下。意思温度范围在2.2和5°C内，而一些剧烈且短的温度波动观察到。与消耗相对应的时间的RSL在30％和2％之间。基于整体结果，在监控和传达实时数据时使用区块链结合预测建模允许有效的冷链管理。

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《IIR Conference on Sustainability and the Cold Chain;Institut International Du Froid;International Institute of Refrigeration》||322-329|共8页
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Eleni GOGOU; Ioanna SEMENOGLOU; Andreas GRASMANN; Vincenzo GALLIFUOCO; Muralid DUVVURI; Petros TAOUKIS;
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1. RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain [J] . E. Abad, F. Palacio, M. Nuin, Journal of food engineering . 2009,第4期

机译：RFID智能标签，用于食品的可追溯性和冷链监控：洲际鲜鱼物流链中的演示
2. Supply Chain Decision Model Based on Blockchain: A Case Study of Fresh Food E-Commerce Supply Chain Performance Improvement [J] . Zi-Yu Liu, Peng-Tao Guo Discrete dynamics in nature and society . 2021,第a期

机译：基于区块链的供应链决策模型 - 以新鲜食品电子商务供应链绩效改进为例
3. Managing supply chains successfully: an empirical testing of success of supply chain networks in the German fish sector. (Special Issue: Food industry and food chains in a challenging world.) [J] . Gagalyuk T., Hanf J., Herzlieb C. Acta Agriculture Scandinavica, Section C. Food Economics . 2010,第2a4期

机译：成功管理供应链：对德国鱼类业供应链网络成功进行的经验测试。（特刊：充满挑战的世界中的食品工业和食品链。）
4. Perishable Food Products Contains Safe in Cold Supply Chain Management Using Blockchain Technology [C] . N. Nasurudeen Ahamed, T K Thivakaran, P Karthikeyan International Conference on Advanced Computing and Communication Systems . 2021

机译：易腐食品在使用区块链技术中含有安全的冷供应链管理安全性
5. Critical Success Factors for Implementing Blockchain in the Supply Chain for Product Traceability [D] . Lee, Gary. 2021

机译：在供应链中实施区块链的关键成功因素进行产品可追溯性
6. Blockchain-Based Traceability System That Ensures Food Safety Measures to Protect Consumer Safety and COVID-19 Free Supply Chains [O] . Adnan Iftekhar, Xiaohui Cui 2021

机译：基于区块链的可追溯性系统可确保食品安全措施以保护消费者安全和Covid-19免费供应链
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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Implementation of blockchain in food supply chains: Field test monitoring of fresh aquaculture fish cold chain

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