Origin traceability of agricultural products in blockchain

1.

In the heat wave of "embracing blockchain" in 2018, who can take the lead in finding application scenarios and launching landing projects has become the most important part of the competition

among them, traceability and anti-counterfeiting is considered to be one of the most promising areas for blockchain implementation, and also the first area for giants to compete for blockchain technology implementation. In China, Chongqing, Hangzhou and other cities have taken the lead in "testing" the application of blockchain in food traceability; Tmall, Jingdong and other e-commerce giants also use blockchain technology in their respective systems for traceability and anti-counterfeiting

What are the advantages of blockchain traceability compared with traditional traceability? What pain points can blockchain technology solve in the traceability and anti-counterfeiting business? Can blockchain technology open a new chapter of traceability and anti-counterfeiting business

2. It can provide information of procing area for consumers and make people feel more at ease.

3.

A: first, the connotation of blockchain

blockchain is a distributed shared ledger and database, which is decentralized, tamper proof, traceable, collective maintenance, open and transparent

Agricultural traceability is the most complex and difficult part of food traceability. At present, there is no complete agricultural proct traceability system based on food safety proction and whole process supply chain management

2. The most important part of the construction of agricultural traceability system is "one center and three moles", which is a traceability cloud data center and three moles of procers, regulators and consumers

Third, composition of blockchain

blockchain system is composed of data layer, network layer, consensus layer, incentive layer, contract layer and application layer

4. I have seen a dmtc rice agricultural traceability project, qisheng
that is, an RFID chip is installed on the proct to record the whole life cycle of qisheng, which is equivalent to that every commodity has an identity tag. These data will be linked in real time and form a tamperable information to ensure the safety and traceability of goods
my understanding is about this, and so should other traceability procts

5.

Python learning path

the first stage is Python foundation and Linux database. This is the beginning stage of python, and also an important stage to help students lay a good foundation. You need to master Python basic syntax rules and variables, logic control, built-in data structure, file operation, advanced functions, moles, common standard library moles, functions, exception handling, MySQL use, coroutine and other knowledge points

learning objectives: master basic Python syntax and basic programming ability; Master the basic operation commands of Linux, master the advanced content of MySQL, and complete the projects of bank ATM system, English Chinese dictionary, lyrics parser, etc

the second stage is full web stack. In this part, you need to master HTML, CSS, JavaScript, jQuery, bootstrap, web development foundation, Vue, flag views, flag template, database operation, flag configuration and other knowledge

learning objectives: master the web front-end technology content, master the web back-end framework, skillfully use flash, tornado, Django, and complete the data monitoring background project

The third stage is data analysis + artificial intelligence. This part is mainly to learn the knowledge points related to crawler. You need to master the knowledge of data capture, data extraction, data storage, crawler concurrency, dynamic web page capture, scrapy framework, distributed crawler, crawler attack and defense, data structure, algorithm, etc

learning objective: to master crawler, data acquisition, data organization and algorithm advanced and artificial intelligence technology. It can complete crawler attack and defense, image mosaic, movie recommendation system, earthquake prediction, artificial intelligence project and other stage projects

The fourth stage is advanced. This is a python advanced knowledge point. You need to learn project development process, deployment, high concurrency, performance tuning, go language foundation, blockchain introction, etc

learning objectives: master the technology of automatic operation and maintenance and blockchain development, and complete the automatic operation and maintenance projects, blockchain and other projects

according to the python learning roadmap above, you can basically become a qualified Python development engineer. Of course, if you want to quickly become the elite talents of enterprises, you need good teachers to guide you, and you need more projects to accumulate practical experience

self learning itself is very difficult, and learning step by step is sure to be comprehensive and solid. If you want to learn which part, you can skip the targeted learning mole you don't need for the time being, and watch more different videos. Systematic learning usually takes 5-6 months

6.

What is blockchain? Blockchain is an important concept of bitcoin. It is essentially a decentralized database. At the same time, as the underlying technology of bitcoin, it is a series of data blocks generated by using cryptographic methods. Each data block contains a batch of information about network transactions of bitcoin, Used to verify the validity of its information (anti-counterfeiting) and generate the next block

and traceability blockchain is a technology based on the nature of blockchain, which is to improve people's quality of life and food safety. Now there are all kinds of traceability, from pig traceability, to dmtc's Agricultural traceability , and then to cosmetics traceability, which are all around this commodity closely related to our life

7. Dmtc mainly uses blockchain technology to integrate the resources of agricultural supply chain, combined with the support of soft and hard chain technology, so as to realize the whole process of agricultural organic food proction record, check, tamper proof and traceability, and thoroughly solve the practical problems of agricultural development. It includes data acquisition, data security and data sharing
in terms of data collection, through artificial intelligence and Internet of things technology, dmtc runs through the whole agricultural ecological chain. During agricultural proction, it automatically records the proction environment data, proction process data, transportation, sales and consumer behavior data of agricultural procts

in terms of data security, the existing traceability IT architecture is used to maintain the security of the system through network equipment and Agricultural Internet of things (IOA)
in terms of data sharing, the data collected in the whole process of dmtc can be conditionally shared with users in the whole supply chain of ecological agriculture, and the proction and transportation data can be shared with consumers, so as to trace the origin and development of procts, guide agricultural procers to adjust proction direction and improve proction efficiency.