Blockchain and edge computing technology enabling organic agricultural supply chain: A framework solution to trust crisis

Hu, Shanting; Huang, Shan; Huang, Jing; Su, Jiafu

doi:10.1016/j.cie.2020.107079

Cited by 104 publications

(72 citation statements)

References 39 publications

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“…This can benefit the analysis of the transit of products in the supply chain [14]. RFID, blockchain, and artificial intelligence deployment throughout the logistic supply chain have been addressed by several authors, indicating the trend of the application of technology in this area of business [15][16][17]42]. Rejeb et al [15] presented an understanding of IoT in development and logistics chain management, including food and pharmaceuticals (which may require reverse product tracking).…”

Section: Related Workmentioning

confidence: 99%

“…RFID is employed to identify products, prices, among other things, facilitating product control. Reverse logistics guarantee the return of packages to origin [16]. Moreover, a blockchain is a structure of linked blocks (data structure) so that a block can point to its predecessor through a field that has a hash of the data from the previous block, and so on.…”

Section: Introductionmentioning

confidence: 99%

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APTM: A Model for Pervasive Traceability of Agrochemicals

et al. 2021

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As the world population increases and the need for food monoculture farms are using more and more agrochemicals, there is also an increase in the possibility of theft, misuse, environmental damage, piracy of products, and health problems. This article addresses these issues by introducing the agrochemical pervasive traceability model (APTM), which integrates machine learning, sensors, microcontrollers, gamification, and two blockchains. It contributes in two dimensions: (I) the study of the environmental, product piracy and regulatory of agrochemical control; (II) the technological dimension: application of an adequate set of sensors collecting multiple data; modeling and implementation of a system via machine learning for analyzing and predicting the behavior and use of agrochemicals; development of a scoring system via gamification for reverse use of agrochemicals; and presenting a record of transactions in a consortium of two blockchains, simultaneously. Its main advantage is to be a flexible, adaptable, and expansive model. Results indicated that the model has positive aspects, from detecting the agrochemical, its handling, and disposal, recording of transactions, and data visualization along the reverse supply chain. This study obtained a round trip time of 0.510 ms on average; data transfers between layer one and its persistence in the database were between 4 to 5 s. Thus, blockchain nodes consumed only 34 to 38% of CPU and recorded transactions between 2 to 4 s. These results point to a horizon of applicability in real situations within agricultural farms.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

APTM: A Model for Pervasive Traceability of Agrochemicals

et al. 2021

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“…Gao et al developed an Internet of ings-(IoT-) based intelligent fish farming and tracking control system that includes a forecasting method that enables automatic water quality management and supports tracking the breeding and selling of freshwater fish [24]. Hu et al first leveraged the immutability of block-chain and the paradigm of edge computing to construct a trust framework for the organic agricultural supply chain, which makes affordable traceability solutions for those in developing countries at a low cost [25].…”

Section: Literature Reviewmentioning

confidence: 99%

A Traceability Public Service Cloud Platform Incorporating IDcode System and Colorful QR Code Technology for Important Product

Zhang

Liao

et al. 2021

Mathematical Problems in Engineering

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At present, the epidemic situation of COVID-19 is raging rampantly in the whole world, affecting the hearts of billions of people. The new coronavirus has been detected in many foods and agricultural products. At the same time, vaccines and medicines to prevent or treat COVID-19 are also stepping up research and development and gradually put into use. The quality and safety of foods, medicines, and agricultural products are directly related to the lives and health of people. There are many potential dangers and hidden risks of accidents in the production, sale, and transportation of dangerous goods and special equipment. Therefore, it is necessary to effectively monitor and record the workflow of the above productions or goods. In this paper, we developed an important product traceability public service cloud platform (IPTPSCP) based on batch identification and record keeping with International Two-Dimensional Code Object Identifier System (IDcode) coding rules. Through a case study of the tea factory that produces and sells Xinyang Maojian tea, a test and implementation of IPTPSCP was shown by designing a colorful QR code to prevent the traceability information from being forged in batches. Judging from the overall effect of the practical application of more than a dozen settled enterprises, IPTPSCP has improved the efficiency of data collection and monitoring by about 13%. The results show that the IPTPSCP can be considered as an effective tool to guarantee the quality and safety of products. Besides, since it is not required for the enterprise to invest much money and manpower to develop software, IPTPSCP reduces the cost of implementing product traceability by about 36%.

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“…O uso de identificação por radiofrequência (RFID), logística reversa, blockchain e indústria 4.0, tem aparecido na literatura consultada, [Rejeb et al 2020]. No caso da blockchain, esta tecnologia tem aparecido lado a lado com as cadeias de suprimento [Hu et al 2021]. Os dados, uma vez lançados na rede Edge, para uma rede mais interna da organização, podem fazer uso de IA para detectar padrões (correlações e variações), [Toorajipour et al 2020] e [Min 2010].…”

Section: Trabalhos Relacionadosunclassified

“…Por fim, percebese uma lacuna neles pois, tratam de problemas específicos e os que abordam tecnologias sobre rastreabilidade, não utilizam uma combinação de sensores, nem análise e pré-processamento de dados coletados de diversas fontes. Finalizamos apontando os trabalhos com maior contribuição para aàrea estudada são: [Fuertes et al 2016], [Lin et al 2018], [Gai et al 2020], [Blankenburg et al 2015] e [Hu et al 2021]; os trabalhos com relação indireta porém com contribuição oportuna são: [Guo and Zhang 2010…”

Section: Trabalhos Relacionadosunclassified

Combinando Internet das Coisas, Inteligência Artificial e Blockchain para Monitorar a Cadeia de Agroquímicos

Monteiro

Mignoni

Righi

et al. 2021

Anais Do XIII Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2021)

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A movimentação de agroquímicos na cadeia produtiva é imensa, oportunizando roubos, mal uso e evasão de impostos. O controle atual é precário e necessita de melhorias, possibilitando um vasto campo de pesquisa. Conforme a literatura na área, as propostas atuais de rastreabilidade usam apenas poucos sensores, além do fato de não existir combinação e integração entre eles. Nesse contexto, este trabalho apresenta um modelo que permite a rastreabilidade de defensivos agrícolas, combinando sensores de Internet das Coisas (IoT), aprendizado de máquina, redes de neblina (fog), identificação por rádio frequência (RFID) e blockchain. O diferencial do modelo está na contribuição de uma proposta modular e que permite segurança e confiabilidade no controle dos produtos. O modelo desenvolvido apresentou resultados concisos e promissores. Quando realizada a movimentação de objetos dentro de containers e fora destes, sensores capturam e enviaram os dados das ações para armazenamento e análise das camadas seguintes do modelo.

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Blockchain and edge computing technology enabling organic agricultural supply chain: A framework solution to trust crisis

Cited by 104 publications

References 39 publications

APTM: A Model for Pervasive Traceability of Agrochemicals

APTM: A Model for Pervasive Traceability of Agrochemicals

A Traceability Public Service Cloud Platform Incorporating IDcode System and Colorful QR Code Technology for Important Product

Combinando Internet das Coisas, Inteligência Artificial e Blockchain para Monitorar a Cadeia de Agroquímicos

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