 ICACT20220023 Slide.01
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Hello everyone Today, the research Cloud Blockchain Based Multiple Inspection Information Exchanging for Agriculture and Food Safety is presented. Today's Speaker is Jian-Ting Guo, from National Formosa University, Taiwan |
| ICACT20220023 Slide.02
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It is today's outline.
First is introduction
Second is the related works, including the technologies included in this research.
Third is the proposed system and the implementation results. |
| ICACT20220023 Slide.03
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due to the agriculture pesticide and the storm of food safety recently, to maintain the food safety, various inspections are defined and limited.
There may be various pesticides be inspected and the procedure of inspection may be complex.
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| ICACT20220023 Slide.04
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To verify the pesticide on agriculture product is important.
It require several steps for test.
To integrate complex inspection step and ensure the security during the inspection, therefore cloud computing and blockchain is used
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| ICACT20220023 Slide.05
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All services the inspection needs is packaged as docker template, can establish services rapidly.
In order to satisfy different definition of amount of pesticides for different country, "web crawler" included in the docker is used for collecting the limitation of amount.
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| ICACT20220023 Slide.06
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Considering the pesticide inspection procedure, the final report is the integration of data which comes from various inspection machines, inspectors, and inspection phases.
And corresponding to the actual inspection procedure, the data of each individual inspection procedure should be exchanged between different phases, procedures, and inspectors.
Therefore, to confirm the correctness of the data exchanging the Blockchain is used.
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| ICACT20220023 Slide.07
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Blockchain is used for verified the inspection data during the inspection chain, the final repot should be ensured that all content come from the undeniable information.
When the final report is provided, the inspection report is reliable.
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| ICACT20220023 Slide.08
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Today, Most agriculture inspections are developed based on the Chromatography-Tandem Mass Spectrometry technology.
Comparing the detected spectra signal with the signal of the standard sample, the elemental feature of the sample, the mass of the molecules, or the structure of the compounds can be determined.
To obtain the spectrum, there has GC-MS and LC-MS
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| ICACT20220023 Slide.09
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Following presents the System Architecture including Framework architecture, Process flow, Pesticide Inspection Algorithm, Inspection Data Chain, Cloud computing Platform |
| ICACT20220023 Slide.10
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Agriculture sample will be delivered to the inspection machines.
The information be exchanged based on proposed inspection data chain.
By collecting all the related chained data, the inspection report can undeniable.
pages. |
| ICACT20220023 Slide.11
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Agriculture sample will be delivered to the inspection machines.
The information be exchanged based on proposed inspection data chain.
By collecting all the related chained data, the inspection report can undeniable.
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| ICACT20220023 Slide.12
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Total amount of pesticides which should be inspected be defined as the function.
There are three quality indexes Q1,Q2,Q3 used in quality of management
QR, Q1 ,Q2 composed to control the quality of management
If R% is not within the range from 60 to 140, the inspection data will be defined as unqualified.
QF, Q1, Q3 composed to used in the quality of management report
The %Rec field of each index Q1, Q2 and Q3 can be covered into R% and PRD% of Qr and QF
Based on the PRD% value, if the valued is larger than 20, this inspection data is also defined as unqualified.
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| ICACT20220023 Slide.13
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The final report is the integration of data which comes from various inspection machines, inspectors, and inspection phases. Therefore, a reliable final report is based on the undeniable data.
Blockchain is included in the inspection data chain, the data of inspections will be blocked. The blocked data will be chained and the final report of the inspection can be trusted and undeniable.
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| ICACT20220023 Slide.14
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Huge computing resource is needed for computing the various combinations of different pesticides.
Docker engine is implemented for frequently and rapidly established.
Web crawler is used for obtaining the corresponding valid pesticide residue value from different country.
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| ICACT20220023 Slide.15
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The implementation environment and Verification are shown in the following section.
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| ICACT20220023 Slide.16
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System is implemented based on Ubuntu OS
The virtual machine is created based on Cloud Stack environment
Blockchain based on Ethereum is developed based on cloud.
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| ICACT20220023 Slide.17
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inspectors upload the temporary inspection results from LC-MS or GC-MS
Then the system provides the interface of the results.
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| ICACT20220023 Slide.18
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Here shows the result of the inspection procedures.
all the tested pesticide can be checked. |
| ICACT20220023 Slide.19
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The full inspection procedure is separated into blocked data.
Be able to be checked and verified |
| ICACT20220023 Slide.20
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System is indeed feasible, ensure the security of the data and undeniable during the transmission.
System can use different biological data such as the feature of human face for the blockchain’s unique private key.
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